Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Introduction to algorithms
Semi-naive Bayesian classifier
EWSL-91 Proceedings of the European working session on learning on Machine learning
Theory refinement on Bayesian networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Probabilistic similarity networks
Probabilistic similarity networks
Elements of information theory
Elements of information theory
An entropy-based learning algorithm of Bayesian conditional trees
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Knowledge representation and inference in similarity networks and Bayesian multinets
Artificial Intelligence
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
Data Mining and Knowledge Discovery
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Building classifiers using Bayesian networks
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Learning Bayesian networks: a unification for discrete and Gaussian domains
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Efficient approximations for the marginal likelihood of incomplete data given a Bayesian network
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Asymptotic model selection for directed networks with hidden variables*
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Extending naïve Bayes classifiers using long itemsets
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Applying general Bayesian techniques to improve TAN induction
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Growing decision trees on support-less association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Unsupervised Bayesian visualization of high-dimensional data
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Scalable association-based text classification
Proceedings of the ninth international conference on Information and knowledge management
Technical Note: Naive Bayes for Regression
Machine Learning
Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Class discovery in gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
ACM Computing Surveys (CSUR)
On the quantification of e-business capacity
Proceedings of the 3rd ACM conference on Electronic Commerce
MobiMine: monitoring the stock market from a PDA
ACM SIGKDD Explorations Newsletter
Robust Learning with Missing Data
Machine Learning
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction
Machine Learning - Special issue: Unsupervised learning
A new Bayesian tree learning method with reduced time and space complexity
Fundamenta Informaticae
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Parameter Learning in Object-Oriented Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Predicting project delivery rates using the Naive-Bayes classifier
Journal of Software Maintenance: Research and Practice
Modeling dependencies in protein-DNA binding sites
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Texture classification by multi-model feature integration using Bayesian networks
Pattern Recognition Letters
A Study on the Performance of Large Bayes Classifier
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Understanding Probabilistic Classifiers
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Geometric Properties of Naive Bayes in Nominal Domains
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Instance-Based Classification by Emerging Patterns
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Decision Tables: Scalable Classification Exploring RDBMS Capabilities
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Incremental Learning of Tree Augmented Naive Bayes Classifiers
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Boosting Naive Bayes for Claim Fraud Diagnosis
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Mining Bayesian Network Structure for Large Sets of Variables
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
A New Measure for the Accuracy of a Bayesian Network
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
An Improved Learning Algorithm for Augmented Naive Bayes
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
A New Bayesian Network Structure for Classification Tasks
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Learning Bayesian Belief Network Classifiers: Algorithms and System
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
An Unsupervised Bayesian Distance Measure
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Toward Bayesian Classifiers with Accurate Probabilities
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Integrating feature and instance selection for text classification
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Eighteenth national conference on Artificial intelligence
Data mining tasks and methods: Classification: Bayesian classification
Handbook of data mining and knowledge discovery
Using text classification to predict the gene knockout behaviour of S. Cerevisiae
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Bayesian data mining and knowledge discovery
Data mining
Intelligent data analysis
Learning with mixtures of trees
The Journal of Machine Learning Research
The representational power of discrete bayesian networks
The Journal of Machine Learning Research
Floating search algorithm for structure learning of Bayesian network classifiers
Pattern Recognition Letters
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Binary and multicategory classification accuracy of the LSA machine
ICCMSE '03 Proceedings of the international conference on Computational methods in sciences and engineering
Augmenting Naive Bayes Classifiers with Statistical Language Models
Information Retrieval
DeEPs: A New Instance-Based Lazy Discovery and Classification System
Machine Learning
Semi-supervised learning for facial expression recognition
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Decomposable modeling in natural language processing
Computational Linguistics
Learning multiple evolutionary pathways from cross-sectional data
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
A Case Study of Applying Boosting Naive Bayes to Claim Fraud Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Bayesian networks in educational testing
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Dominant meanings classification model for web information
Design and application of hybrid intelligent systems
Learning Bayesian network classifiers by maximizing conditional likelihood
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Testing the significance of attribute interactions
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Web-Based Knowledge Acquisition to Impute Missing Values for Classification
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
A Data Mining Approach for Retailing Bank Customer Attrition Analysis
Applied Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model Averaging for Prediction with Discrete Bayesian Networks
The Journal of Machine Learning Research
Asymptotic Model Selection for Naive Bayesian Networks
The Journal of Machine Learning Research
Classification of flourescence in situ hybridization images using belief networks
Pattern Recognition Letters
An Intelligent System Approach to Higher-Dimensional Classification of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Information Sciences—Informatics and Computer Science: An International Journal
Not so naive Bayes: aggregating one-dependence estimators
Machine Learning
Machine Learning
TAN Classifiers Based on Decomposable Distributions
Machine Learning
Machine Learning
A Bayesian network based sequential inference for diagnosis of diseases from retinal images
Pattern Recognition Letters - Special issue: Advances in pattern recognition
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Local sparsity control for naive Bayes with extreme misclassification costs
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Short term performance forecasting in enterprise systems
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Multimodal metadata fusion using causal strength
Proceedings of the 13th annual ACM international conference on Multimedia
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
ICML '05 Proceedings of the 22nd international conference on Machine learning
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Augmenting naive Bayes for ranking
ICML '05 Proceedings of the 22nd international conference on Machine learning
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Learning Instance Greedily Cloning Naive Bayes for Ranking
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Cervical Cancer Detection Using Colposcopic Images: a Temporal Approach
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Selection of Generative Models in Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Annals of Mathematics and Artificial Intelligence
groupTime: preference based group scheduling
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition
Pattern Recognition Letters
Classification using Hierarchical Naïve Bayes models
Machine Learning
Journal of Biomedical Informatics - Special issue: Clinical machine learning
Data association for topic intensity tracking
ICML '06 Proceedings of the 23rd international conference on Machine learning
Using query-specific variance estimates to combine Bayesian classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
Full Bayesian network classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
Efficient lazy elimination for averaged one-dependence estimators
ICML '06 Proceedings of the 23rd international conference on Machine learning
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data
Knowledge and Information Systems
Detecting social interactions of the elderly in a nursing home environment
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A survey of skin-color modeling and detection methods
Pattern Recognition
An intelligent web-page classifier with fair feature-subset selection
Engineering Applications of Artificial Intelligence
Combining linguistic features with weighted Bayesian classifier for temporal reference processing
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A new approach to classification based on association rule mining
Decision Support Systems
Computer Methods and Programs in Biomedicine
Feature set decomposition for decision trees
Intelligent Data Analysis
Predicting carcinoid heart disease with the noisy-threshold classifier
Artificial Intelligence in Medicine
The Journal of Machine Learning Research
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
The Journal of Machine Learning Research
On the Classification of a Small Imbalanced Cytogenetic Image Database
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
HOTOS'05 Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Bayesian Networks for Knowledge-Based Authentication
IEEE Transactions on Knowledge and Data Engineering
On-line alert systems for production plants: A conflict based approach
International Journal of Approximate Reasoning
A recursive method for discriminative mixture learning
Proceedings of the 24th international conference on Machine learning
Mining data from intensive care patients
Advanced Engineering Informatics
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
On the Bayes fusion of visual features
Image and Vision Computing
Raising the baseline for high-precision text classifiers
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A Formal Analysis of Fault Diagnosis with D-matrices
Journal of Electronic Testing: Theory and Applications
Authentic facial expression analysis
Image and Vision Computing
Learning and modeling biosignatures from tissue images
Computers in Biology and Medicine
Diagnosis of breast cancer using Bayesian networks: A case study
Computers in Biology and Medicine
Enabling policy-driven self-management for enterprise-scale systems
HotAC II Hot Topics in Autonomic Computing on Hot Topics in Autonomic Computing
Evolving a Bayesian classifier for ECG-based age classification in medical applications
Applied Soft Computing
Convergence in Markovian models with implications for efficiency of inference
International Journal of Approximate Reasoning
Missing values prediction with K2
Intelligent Data Analysis
Tree structured classifiers, interconnected data, and predictive accuracy
Intelligent Data Analysis
Discriminative learning of Bayesian network classifiers
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Learning Bayesian classifiers from positive and unlabeled examples
Pattern Recognition Letters
An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks
Neural Processing Letters
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Journal of Biomedical Informatics
Sharing experiences to learn user characteristics in dynamic environments with sparse data
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Improving multiclass pattern recognition with a co-evolutionary RBFNN
Pattern Recognition Letters
Designing evolving user profile in e-CRM with dynamic clustering of Web documents
Data & Knowledge Engineering
Computer Methods and Programs in Biomedicine
Appraisal of companies with Bayesian networks
International Journal of Business Intelligence and Data Mining
Combining low-level features for semantic extraction in image retrieval
EURASIP Journal on Advances in Signal Processing
Activity based surveillance video content modelling
Pattern Recognition
Grasp recognition for uncalibrated data gloves: A machine learning approach
Presence: Teleoperators and Virtual Environments
Adaptive learning algorithms for Bayesian network classifiers
AI Communications
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Using Echo State Networks for Anomaly Detection in Underground Coal Mines
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers
Computer Methods and Programs in Biomedicine
Journal of Biomedical Informatics
Cancer classification from serial analysis of gene expression with event models
Applied Intelligence
Extended Naive Bayes classifier for mixed data
Expert Systems with Applications: An International Journal
Detecting anomalous access patterns in relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
Discriminative parameter learning for Bayesian networks
Proceedings of the 25th international conference on Machine learning
Connection Science - Evolutionary Learning and Optimisation
Constructing Bayesian networks for criminal profiling from limited data
Knowledge-Based Systems
Adapting Bayes network structures to non-stationary domains
International Journal of Approximate Reasoning
Boosted Bayesian network classifiers
Machine Learning
Learning Bayesian Classifiers from Dependency Network Classifiers
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Discriminatively Learning Selective Averaged One-Dependence Estimators Based on Cross-Entropy Method
Computational Intelligence and Security
An Algorithm for Generating Classification Rules Based on Extended Function Dependency
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Survey of Improving Naive Bayes for Classification
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Shrinkage Estimator for Bayesian Network Parameters
ECML '07 Proceedings of the 18th European conference on Machine Learning
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
ECML '07 Proceedings of the 18th European conference on Machine Learning
Automatic Categorization of Human-Coded and Evolved CoreWar Warriors
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Olive Fly Infestation Prediction Using Machine Learning Techniques
Current Topics in Artificial Intelligence
Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions
BSB '08 Proceedings of the 3rd Brazilian symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
On-Line Detection of Rule Violations in Table Soccer
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Extension of Bayesian Network Classifiers to Regression Problems
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
A machine learning methodology for the analysis of workplace accidents
International Journal of Computer Mathematics - Recent Advances in Computational and Applied Mathematics in Science and Engineering
INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY
Applied Artificial Intelligence
Naive Bayes for optimal ranking
Journal of Experimental & Theoretical Artificial Intelligence
Two novel feature selection approaches for web page classification
Expert Systems with Applications: An International Journal
Automatic diagnosis of mobile communication networks under imprecise parameters
Expert Systems with Applications: An International Journal
Complex adaptive filtering user profile using graphical models
Information Processing and Management: an International Journal
A Bayesian network model for surface roughness prediction in the machining process
International Journal of Systems Science
A Discriminative Learning Method of TAN Classifier
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Discriminative vs. Generative Learning of Bayesian Network Classifiers
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Inference and Learning in Multi-dimensional Bayesian Network Classifiers
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A maximum entropy approach to feature selection in knowledge-based authentication
Decision Support Systems
Selection of human embryos for transfer by Bayesian classifiers
Computers in Biology and Medicine
Broad phonetic classification using discriminative Bayesian networks
Speech Communication
Computer Methods and Programs in Biomedicine
Supervised classification using probabilistic decision graphs
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
A decision support system for detecting products missing from the shelf based on heuristic rules
Decision Support Systems
Predicting intrusion goal using dynamic Bayesian network with transfer probability estimation
Journal of Network and Computer Applications
A Combined Classification Algorithm Based on C4.5 and NB
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Bayesian classifiers based on kernel density estimation: Flexible classifiers
International Journal of Approximate Reasoning
Class dependent feature scaling method using naive Bayes classifier for text datamining
Pattern Recognition Letters
iManage: policy-driven self-management for enterprise-scale systems
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Knowledge-based event control for flow-shops using simulation and rules
Proceedings of the 40th Conference on Winter Simulation
A method for improving the accuracy of data mining classification algorithms
Computers and Operations Research
On the time-dependent occupancy distribution of the g/g/1 queuing system
Probability in the Engineering and Informational Sciences
A sequential feature extraction approach for naïve bayes classification of microarray data
Expert Systems with Applications: An International Journal
AutoPCS: A Phrase-Based Text Categorization System for Similar Texts
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Online Classification of Network Flows
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
Engineering Applications of Artificial Intelligence
Adaptive Bayesian network classifiers
Intelligent Data Analysis
Feature subset selection from positive and unlabelled examples
Pattern Recognition Letters
Latent classification models for binary data
Pattern Recognition
Anytime learning and classification for online applications
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Structure identification of Bayesian classifiers based on GMDH
Knowledge-Based Systems
HODE: Hidden One-Dependence Estimator
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
When in Doubt ... Be Indecisive
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Bayesian network classifiers versus k-NN classifier using sequential feature selection
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Aligning Bayesian Network Classifiers with Medical Contexts
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
Intelligent Data Analysis - Selected papers from IDA2005, Madrid, Spain
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
On the classification performance of TAN and general Bayesian networks
Knowledge-Based Systems
Naïve possibilistic network classifiers
Fuzzy Sets and Systems
Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques
BSB '09 Proceedings of the 4th Brazilian Symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
Feature Selection Method Combined Optimized Document Frequency with Improved RBF Network
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
On Discriminative Parameter Learning of Bayesian Network Classifiers
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Discriminative model selection for belief net structures
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Representing conditional independence using decision trees
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Computer Speech and Language
Integrating learning from examples into the search for diagnostic policies
Journal of Artificial Intelligence Research
Challenge: what is the impact of Bayesian networks on learning?
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Generalized additive Bayesian network classifiers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Change of representation for statistical relational learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Linking Bayesian networks and PLS path modeling for causal analysis
Expert Systems with Applications: An International Journal
Context reasoning using extended evidence theory in pervasive computing environments
Future Generation Computer Systems
When discriminative learning of Bayesian network parameters is easy
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Real-Time Collaborative Filtering Using Extreme Learning Machine
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Tank War Using Online Reinforcement Learning
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Leveraging data about users in general in the learning of individual user models
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
View learning for statistical relational learning: with an application to mammography
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning coordination classifiers
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Computational modeling of oligonucleotide positional densities for human promoter prediction
Artificial Intelligence in Medicine
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
Artificial Intelligence in Medicine
Confidence intervals for probabilistic network classifiers
Computational Statistics & Data Analysis
Bayesian network classifiers for mineral potential mapping
Computers & Geosciences
A multisensor decision fusion system for terrain safety assessment
IEEE Transactions on Robotics
Expert Systems with Applications: An International Journal
An Empirical Study on Several Classification Algorithms and Their Improvements
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Averaged Naive Bayes Trees: A New Extension of AODE
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
K-Distributions: A New Algorithm for Clustering Categorical Data
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
New Labeling Strategy for Semi-supervised Document Categorization
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
An Expert System Based Approach to Modeling and Selecting Requirement Engineering Techniques
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Self-healing and Hybrid Diagnosis in Cloud Computing
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Incorporating prediction models in the SelfLet framework: a plugin approach
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Affective computation on EEG correlates of emotion from musical and vocal stimuli
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A self-learning expert system for diagnosis in traditional Chinese medicine
Expert Systems with Applications: An International Journal
Very large Bayesian multinets for text classification
Future Generation Computer Systems
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Learning of model parameters for fault diagnosis in wireless networks
Wireless Networks
Classification of Otoneurological Cases According to Bayesian Probabilistic Models
Journal of Medical Systems
Simplify the interpretation of alert lists for clinical mastitis in automatic milking systems
Computers and Electronics in Agriculture
Bayesian network classifiers versus selective k-NN classifier
Pattern Recognition
Computational Statistics & Data Analysis
Regularized margin-based conditional log-likelihood loss for prototype learning
Pattern Recognition
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Combining naive bayes and n-gram language models for text classification
ECIR'03 Proceedings of the 25th European conference on IR research
Weightily averaged one-dependence estimators
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Head pose estimation in seminar room using multi view face detectors
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Evaluation of expression recognition techniques
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
A fundamental issue of naive bayes
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
A new restricted Bayesian network classifier
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Modelling multiple-classifier relationships using Bayesian belief networks
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Hierarchical Bayesian network for handwritten digit recognition
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Finite mixture model of bounded semi-naive Bayesian networks classifier
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Hierarchical Bayesian network for handwritten digit recognition
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
A comparative study of PCA, ICA and class-conditional ICA for Naïve Bayes classifier
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Predictive and contextual feature separation for bayesian metanetworks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Making time: pseudo time-series for the temporal analysis of cross section data
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Large-scale bot detection for search engines
Proceedings of the 19th international conference on World wide web
e-mail authorship verification for forensic investigation
Proceedings of the 2010 ACM Symposium on Applied Computing
Texture classification of aerial image based on Bayesian networks with hidden nodes
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Different Bayesian network models in the classification of remote sensing images
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Wrapping the Naive Bayes classifier to relax the effect of dependences
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Capturing heuristics and intelligent methods for improving micro-array data classification
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Learning locally weighted C4.4 for class probability estimation
DS'07 Proceedings of the 10th international conference on Discovery science
Robust approach for estimating probabilities in naive-Bayes classifier
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Efficient learning of Bayesian network classifiers: an extension to the TAN classifier
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Local learning algorithm for markov blanket discovery
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Improving classification performance by combining multiple TAN classifiers
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
iManage: policy-driven self-management for enterprise-scale systems
MIDDLEWARE2007 Proceedings of the 8th ACM/IFIP/USENIX international conference on Middleware
Spatiotemporal anomaly detection in gas monitoring sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Fast online estimation of the joint probability distribution
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Apply a rough set-based classifier to dependency parsing
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Fast Markov blanket discovery algorithm via local learning within single pass
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Combining clauses with various precisions and recalls to produce accurate probabilistic estimates
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Emerging pattern based classification for automated non-safe power line detection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Feature subset selection based on Bayesian networks
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Spectrum fusion: using multiple mass spectra for de novo peptide sequencing
RECOMB'08 Proceedings of the 12th annual international conference on Research in computational molecular biology
Feature selection for Bayesian network classifiers using the MDL-FS score
International Journal of Approximate Reasoning
Dual-population based coevolutionary algorithm for designing RBFNN with feature selection
Expert Systems with Applications: An International Journal
Information extraction by finding repeated structure
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Expert Systems with Applications: An International Journal
Partition-conditional ICA for Bayesian classification of microarray data
Expert Systems with Applications: An International Journal
A meta-heuristic approach for improving the accuracy in some classification algorithms
Computers and Operations Research
Vulnerability categorization using Bayesian networks
Proceedings of the Sixth Annual Workshop on Cyber Security and Information Intelligence Research
SysML'08 Proceedings of the Third conference on Tackling computer systems problems with machine learning techniques
Simple fully automated group classification on brain FMRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Communications of the ACM
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
The Journal of Machine Learning Research
Hybrid Bayesian network classifiers: Application to species distribution models
Environmental Modelling & Software
Microdata protection through approximate microaggregation
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
IKNOS: inference and knowledge in networks of sensors
International Journal of Sensor Networks
Robust approach for estimating probabilities in Naïve-Bayes Classifier for gene expression data
Expert Systems with Applications: An International Journal
Computers and Electronics in Agriculture
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
International Journal of Approximate Reasoning
Prediction of breast cancer biopsy outcomes using a distributed genetic programming approach
Proceedings of the 1st ACM International Health Informatics Symposium
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
Automatic morphological categorisation of carbon black nano-aggregates
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Artificial Intelligence Review
Information Systems Frontiers
Learning graphical models for hypothesis testing and classification
IEEE Transactions on Signal Processing
Goal detection from natural language queries
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
The Knowledge Engineering Review
Identifying user preferences with Wrapper-based Decision Trees
Expert Systems with Applications: An International Journal
Random one-dependence estimators
Pattern Recognition Letters
From Bayesian classifiers to possibilistic classifiers for numerical data
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Scaling up the accuracy of Bayesian classifier based on frequent itemsets by m-estimate
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Data classification using rough sets and naïve Bayes
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Predicting consumer sentiments from online text
Decision Support Systems
Identifying product failure rate based on a conditional Bayesian network classifier
Expert Systems with Applications: An International Journal
Building a highly-compact and accurate associative classifier
Applied Intelligence
Demonstration based Policy Learning in a Reduced Driving Environment
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
A hybrid particle swarm optimization approach for clustering and classification of datasets
Knowledge-Based Systems
A belief function classifier based on information provided by noisy and dependent features
International Journal of Approximate Reasoning
Analyzing the impact of the discretization method when comparing Bayesian classifiers
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Authentic facial expression analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Long term cardiovascular risk models' combination
Computer Methods and Programs in Biomedicine
Learning Instance-Specific Predictive Models
The Journal of Machine Learning Research
A Semantic Bayesian Network for Web Mashup Network Construction
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier
Expert Systems with Applications: An International Journal
Proceedings of the 20th international conference companion on World wide web
On the discriminability of keystroke feature vectors used in fixed text keystroke authentication
Pattern Recognition Letters
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Rough set approach to online signature identification
Digital Signal Processing
NB+: An improved Naïve Bayesian algorithm
Knowledge-Based Systems
One Dependence Value Difference Metric
Knowledge-Based Systems
Artificial Intelligence in Medicine
AEE'06 Proceedings of the 5th WSEAS international conference on Applications of electrical engineering
Bayesian network classifiers. an application to remote sensing image classification
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Multi-dimensional classification with Bayesian networks
International Journal of Approximate Reasoning
Explaining U.S. consumer behavior with news sentiment
ACM Transactions on Management Information Systems (TMIS)
Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers
Expert Systems with Applications: An International Journal
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
A flexible architecture integrating monitoring and analytics for managing large-scale data centers
Proceedings of the 8th ACM international conference on Autonomic computing
Flexible learning of k-dependence Bayesian network classifiers
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Automatic identification of ontology versions using machine learning techniques
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Journal of Biomedical Informatics
An efficient statistical feature selection approach for classification of gene expression data
Journal of Biomedical Informatics
Selecting discriminating terms for bug assignment: a formal analysis
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
The Journal of Machine Learning Research
Performance comparison of item-to-item skills models with the IRT single latent trait model
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
When learning naive bayesian classifiers preserves monotonicity
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Mining competitor relationships from online news: A network-based approach
Electronic Commerce Research and Applications
TrustBus'11 Proceedings of the 8th international conference on Trust, privacy and security in digital business
Bayesian classifiers for positive unlabeled learning
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Information Technology and Management
Enhanced Topic-based Vector Space Model for semantics-aware spam filtering
Expert Systems with Applications: An International Journal
Enumeration tree based emerging patterns mining by using two different supports
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Naïve bayes vs. support vector machine: resilience to missing data
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Research of bayesian networks application to transformer fault diagnosis
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
An approximate microaggregation approach for microdata protection
Expert Systems with Applications: An International Journal
Possibilistic network-based classifiers: on the reject option and concept drift issues
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Structured data classification by means of matrix factorization
Proceedings of the 20th ACM international conference on Information and knowledge management
Discovering patterns in traffic sensor data
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoStreaming
Model-based multidimensional clustering of categorical data
Artificial Intelligence
Classification systems based on rough sets under the belief function framework
International Journal of Approximate Reasoning
Review: Bayesian networks in environmental modelling
Environmental Modelling & Software
Comparing Bayesian network classifiers
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
On supervised selection of Bayesian networks
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A Bayesian network classifier that combines a finite mixture model and a naïve bayes model
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Bayesian network classifiers in a high dimensional framework
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Maximum entropy and the glasses you are looking through
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Classifier learning with supervised marginal likelihood
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Minimum encoding approaches for predictive modeling
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Trust alignment: a sine qua non of open multi-agent systems
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
The von Mises naive Bayes classifier for angular data
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Predict on-shelf product availability in grocery retailing with classification methods
Expert Systems with Applications: An International Journal
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Event detection models using 2d-BN and CRFs
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Discrete particle swarm optimization and EM hybrid approach for naive bayes clustering
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Diagnosis of chronic idiopathic inflammatory bowel disease using bayesian networks
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
An adaptive prequential learning framework for bayesian network classifiers
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Bayesian class-matched multinet classifier
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Bayesian network structure learning by recursive autonomy identification
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Bayesian learning of markov network structure
ECML'06 Proceedings of the 17th European conference on Machine Learning
To select or to weigh: a comparative study of model selection and model weighing for SPODE ensembles
ECML'06 Proceedings of the 17th European conference on Machine Learning
Online composite sketchy shape recognition based on bayesian networks
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Dynamic k-nearest-neighbor naive bayes with attribute weighted
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Active learning with semi-automatic annotation for extractive speech summarization
ACM Transactions on Speech and Language Processing (TSLP)
Automatic indexing of news videos through text classification techniques
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
RNBL-MN: a recursive naive bayes learner for sequence classification
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Evolutionary bayesian classifier-based optimization in continuous domains
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Bayesian metanetwork for context-sensitive feature relevance
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Reasoning about bayesian network classifiers
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
ACME: an associative classifier based on maximum entropy principle
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Ensemble selection for superparent-one-dependence estimators
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Co-evolutionary rule-chaining genetic programming
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Improving Tree augmented Naive Bayes for class probability estimation
Knowledge-Based Systems
Learning Bayesian network classifiers by risk minimization
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Bayesian model combination and its application to cervical cancer detection
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Learning classifiers from distributed, ontology-extended data sources
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Research on query-by-committee method of active learning and application
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Sampling of virtual examples to improve classification accuracy for nominal attribute data
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Robust bayesian linear classifier ensembles
ECML'05 Proceedings of the 16th European conference on Machine Learning
An integrated approach to learning bayesian networks of rules
ECML'05 Proceedings of the 16th European conference on Machine Learning
Approximation algorithms for minimizing empirical error by axis-parallel hyperplanes
ECML'05 Proceedings of the 16th European conference on Machine Learning
Mutagenicity risk analysis by using class association rules
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
Multinomial event model based abstraction for sequence and text classification
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
One dependence augmented naive bayes
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Alert systems for production plants: a methodology based on conflict analysis
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Scalable, efficient and correct learning of markov boundaries under the faithfulness assumption
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Discriminative learning of bayesian network classifiers via the TM algorithm
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Methods to determine the branching attribute in bayesian multinets classifiers
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Learning TAN from incomplete data
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Bayesian network classifiers for time-series microarray data
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Expert Systems with Applications: An International Journal
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Ensemble learning based on multi-task class labels
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Hybrid systems for personalized recommendations
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Building a more accurate classifier based on strong frequent patterns
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
A bayesian model to smooth telepointer jitter
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
A system for context-dependent user modeling
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Learning tree augmented naive bayes for ranking
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Probabilistic first-order theory revision from examples
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Bias management of bayesian network classifiers
DS'05 Proceedings of the 8th international conference on Discovery Science
Learning ontology-aware classifiers
DS'05 Proceedings of the 8th international conference on Discovery Science
Converting a naive bayes models with multi-valued domains into sets of rules
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Learning bayesian-neural network from mixed-mode data
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Artificial Intelligence in Medicine
Learning naïve bayes tree for conditional probability estimation
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Learning naive bayes for probability estimation by feature selection
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Lazy averaged one-dependence estimators
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Comparison of machine learning methods for intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Voting massive collections of bayesian network classifiers for data streams
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Feature weighted minimum distance classifier with multi-class confidence estimation
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Developing cognitive models for social simulation from survey data
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Learning probabilistic description logics: a framework and algorithms
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Learning bayesian classifiers from gene-expression microarray data
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Comparison of multilabel classification models to forecast project dispute resolutions
Expert Systems with Applications: An International Journal
WSEAS Transactions on Information Science and Applications
Double-layer bayesian classifier ensembles based on frequent itemsets
International Journal of Automation and Computing
Intelligent Naïve Bayes-based approaches for Web proxy caching
Knowledge-Based Systems
Usage of data mining techniques on marketing research data
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
Artificial Intelligence in Medicine
Bayesian learning for cardiac SPECT image interpretation
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Editorial: Bayesian networks in biomedicine and health-care
Artificial Intelligence in Medicine
Bayesian fluorescence in situ hybridisation signal classification
Artificial Intelligence in Medicine
Latent variable discovery in classification models
Artificial Intelligence in Medicine
Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool
Expert Systems with Applications: An International Journal
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge
Proceedings of the 27th Annual ACM Symposium on Applied Computing
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Artificial Intelligence in Medicine
Word sense disambiguation for spam filtering
Electronic Commerce Research and Applications
Evaluation of biometric systems: a study of users' acceptance and satisfaction
International Journal of Biometrics
Information credibility on twitter in emergency situation
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Automatic categorisation of comments in social news websites
Expert Systems with Applications: An International Journal
A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
Expert Systems with Applications: An International Journal
Can I clone this piece of code here?
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
SHACUN: semi-supervised hierarchical active clustering based on ranking constraints
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
DressUp!: outfit synthesis through automatic optimization
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
A New Bayesian Tree Learning Method with Reduced Time and Space Complexity
Fundamenta Informaticae
Enhancing Tor's performance using real-time traffic classification
Proceedings of the 2012 ACM conference on Computer and communications security
Using artificial intelligence to predict surface roughness in deep drilling of steel components
Journal of Intelligent Manufacturing
Same-decision probability: A confidence measure for threshold-based decisions
International Journal of Approximate Reasoning
Automated feature weighting in naive bayes for high-dimensional data classification
Proceedings of the 21st ACM international conference on Information and knowledge management
Automatic on-device filtering of social networking feeds
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
Continuous time Bayesian network classifiers
Journal of Biomedical Informatics
A hybrid algorithm for artificial neural network training
Engineering Applications of Artificial Intelligence
ABC-miner: an ant-based bayesian classification algorithm
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
Bayesian network classifiers with reduced precision parameters
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Relational differential prediction
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Biomedic Organizations: An intelligent dynamic architecture for KDD
Information Sciences: an International Journal
Effects of data set features on the performances of classification algorithms
Expert Systems with Applications: An International Journal
Characterization and detection of taxpayers with false invoices using data mining techniques
Expert Systems with Applications: An International Journal
Multiclass classification of distributed memory parallel computations
Pattern Recognition Letters
Learning attentive fusion of multiple bayesian network classifiers
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Bandit-based structure learning for bayesian network classifiers
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Score-based methods for learning Markov boundaries by searching in constrained spaces
Data Mining and Knowledge Discovery
Bayesian modeling of the risk of non-repeatability for the networked robotic system
Computers and Industrial Engineering
International Journal of Systems and Service-Oriented Engineering
Opcode sequences as representation of executables for data-mining-based unknown malware detection
Information Sciences: an International Journal
Confidence estimation of feedback information for logicdiagnosis
Engineering Applications of Artificial Intelligence
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
LTC: A latent tree approach to classification
International Journal of Approximate Reasoning
Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index
Expert Systems with Applications: An International Journal
A comparison of machine learning algorithms for proactive hard disk drive failure detection
Proceedings of the 4th international ACM Sigsoft symposium on Architecting critical systems
HDM-Analyser: a hybrid analysis approach based on data mining techniques for malware detection
Journal in Computer Virology
Shedding light on log correlation in network forensics analysis
DIMVA'12 Proceedings of the 9th international conference on Detection of Intrusions and Malware, and Vulnerability Assessment
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Towards a method for automatically evolving bayesian network classifiers
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Improving naive Bayes classifier using conditional probabilities
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
A hybrid approach for extracting informative content from web pages
Information Processing and Management: an International Journal
An Augmented Value Difference Measure
Pattern Recognition Letters
Environmental Modelling & Software
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
Artificial Intelligence in Medicine
Applying Bayesian Network Techniques to Prioritize Lean Six Sigma Efforts
International Journal of Strategic Decision Sciences
Learning Bayesian network classifiers from label proportions
Pattern Recognition
Policy making for broadband adoption and usage in Chile through machine learning
Expert Systems with Applications: An International Journal
Bias-Guided random walk for network-based data classification
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
A scalable network forensics mechanism for stealthy self-propagating attacks
Computer Communications
An exact algorithm for computing the same-decision probability
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A Bayesian network model for predicting pregnancy after in vitro fertilization
Computers in Biology and Medicine
Classification of gene expression data using Spiking Wavelet Radial Basis Neural Network
Expert Systems with Applications: An International Journal
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
Credal ensembles of classifiers
Computational Statistics & Data Analysis
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
A feature subset selection algorithm automatic recommendation method
Journal of Artificial Intelligence Research
A survey on latent tree models and applications
Journal of Artificial Intelligence Research
Alleviating naive Bayes attribute independence assumption by attribute weighting
The Journal of Machine Learning Research
Learning attribute weighted AODE for ROC area ranking
International Journal of Information and Communication Technology
Advanced Engineering Informatics
Naive possibilistic classifiers for imprecise or uncertain numerical data
Fuzzy Sets and Systems
Future Generation Computer Systems
Comprehensible classification models: a position paper
ACM SIGKDD Explorations Newsletter
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains
Intelligent Data Analysis
Intelligent Data Analysis
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs
Intelligent Data Analysis
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Evolving multilayer feedforward neural network using adaptive particle swarm algorithm
International Journal of Hybrid Intelligent Systems
Classification of time series by shapelet transformation
Data Mining and Knowledge Discovery
International Journal of Approximate Reasoning
| Hi-index | 0.06 |
Recent work in supervised learning has shown that a surprisinglysimple Bayesian classifier with strong assumptions of independence amongfeatures, called naive Bayes, is competitive withstate-of-the-art classifiers such as C4.5. This fact raises the question ofwhether a classifier with less restrictive assumptions can perform evenbetter. In this paper we evaluate approaches for inducing classifiers fromdata, based on the theory of learning Bayesian networks. These networks are factored representations ofprobability distributions that generalize the naive Bayesian classifier andexplicitly represent statements about independence. Among these approacheswe single out a method we call Tree Augmented Naive Bayes (TAN), which outperforms naive Bayes, yet at the same timemaintains the computational simplicity (no search involved) and robustnessthat characterize naive Bayes. We experimentally tested these approaches,using problems from the University of California at Irvine repository, and compared them to C4.5, naive Bayes, and wrapper methods for featureselection.