Probabilistic independence networks for hidden Markov probability models
Neural Computation
Machine Learning - Special issue on learning with probabilistic representations
Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Bayesian Network Refinement Via Machine Learning Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self bounding learning algorithms
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Fast probabilistic modeling for combinatorial optimization
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tolerating penetrations and insider attacks by requiring independent corroboration
Proceedings of the 1998 workshop on New security paradigms
Machine learning and data mining
Communications of the ACM
Using Bayesian networks to analyze expression data
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
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
Parameter Learning in Object-Oriented Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
Applied Intelligence
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
Parallel Learning of Belief Networks in Large and Difficult Domains
Data Mining and Knowledge Discovery
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Association Models for Web Mining
Data Mining and Knowledge Discovery
Bayesian parameter estimation via variational methods
Statistics and Computing
On predictive distributions and Bayesian networks
Statistics and Computing
A comparison of scientific and engineering criteria for Bayesian modelselection
Statistics and Computing
Structural Modelling with Sparse Kernels
Machine Learning
A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections
Journal of Intelligent Information Systems
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
Data Categorization Using Decision Trellises
IEEE Transactions on Knowledge and Data Engineering
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Dealing with the Expert Inconsistency in Probability Elicitation
IEEE Transactions on Knowledge and Data Engineering
A Distributed Learning Algorithm for Bayesian Inference Networks
IEEE Transactions on Knowledge and Data Engineering
Bayesian Methods for Elucidating Genetic Regulatory Networks
IEEE Intelligent Systems
Learning from imprecise data: possibilistic graphical models
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Data mining of association structures to model consumer behaviour
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Modeling dependencies in protein-DNA binding sites
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Using Feature Hierarchies in Bayesian Network Learning
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Towards a More Efficient Evolutionary Induction of Bayesian Networks
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Efficient Score-Based Learning of Equivalence Classes of Bayesian Networks
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Using Bayesian Networks to Model Emergency Medical Services
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
A Study of Conditional Independence Change in Learning Probabilistic Network
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
An Improved Approach for the Discovery of Causal Models via MML
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
An Empirical Investigation of the K2 Metric
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Automatic Speech Recognition: The New Millennium
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Construction of Large-Scale Bayesian Networks by Local to Global Search
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Learning Pseudo-independent Models: Analytical and Experimental Results
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Local Score Computation in Learning Belief Networks
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Construction of a Non-redundant Cover for Conditional Independencies
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Schema Design for Causal Law Mining from Incomplete Database
DS '99 Proceedings of the Second International Conference on Discovery Science
An Unsupervised Bayesian Distance Measure
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Data Mining with Graphical Models
DS '02 Proceedings of the 5th International Conference on Discovery Science
Stochastic algorithms for searching causal orderings in Bayesian networks
Technologies for constructing intelligent systems
On the potential of domain literature for clustering and Bayesian network learning
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining complex models from arbitrarily large databases in constant time
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Data perturbation for escaping local maxima in learning
Eighteenth national conference on Artificial intelligence
A genetic algorithm for tuning variable orderings in Bayesian network structure learning
Eighteenth national conference on Artificial intelligence
Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
CSB '02 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Intelligent data analysis
Learning with mixtures of trees
The Journal of Machine Learning Research
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
Optimal structure identification with greedy search
The Journal of Machine Learning Research
On inclusion-driven learning of bayesian networks
The Journal of Machine Learning Research
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Large-Scale Computational Modeling of Genetic Regulatory Networks
Artificial Intelligence Review
Operations and evaluation measures for learning possibilistic graphical models
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Learning Bayesian Networks from Incomplete Data Based on EMI Method
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Learning multiple evolutionary pathways from cross-sectional data
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
Learning probabilistic networks
The Knowledge Engineering Review
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
A hybrid approach for learning parameters of probabilistic networks from incomplete databases
Design and application of hybrid intelligent systems
Exact Bayesian Structure Discovery in Bayesian Networks
The Journal of Machine Learning Research
Information Sciences: an International Journal - Special issue: Soft computing data mining
Learning Bayesian network classifiers by maximizing conditional likelihood
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Tractable learning of large Bayes net structures from sparse data
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
Actions, answers, and uncertainty: a decision-making perspective on Web-based question answering
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
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
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
TAN Classifiers Based on Decomposable Distributions
Machine Learning
Pattern Vectors from Algebraic Graph Theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normative selection of Bayesian networks
Journal of Multivariate Analysis
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Learning the Topological Properties of Brain Tumors
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Learning class-discriminative dynamic Bayesian networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Computational aspects of Bayesian partition models
ICML '05 Proceedings of the 22nd international conference on Machine learning
Learning the structure of Markov logic networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Naive Bayes models for probability estimation
ICML '05 Proceedings of the 22nd international conference on Machine learning
Team formation in agent-based computer games
Proceedings of the second Australasian conference on Interactive entertainment
A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Machine Learning
Online Model Selection Based on the Variational Bayes
Neural Computation
Inference of structures of models of probabilistic dependences from statistical data
Cybernetics and Systems Analysis
Learning Shape-Classes Using a Mixture of Tree-Unions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayes net graphs to understand co-authorship networks?
Proceedings of the 3rd international workshop on Link discovery
Full Bayesian network classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
A study of the effects of bias in criterion functions for temporal data clustering
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Journal of Biomedical Informatics
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Modeling student online learning using clustering
Proceedings of the 44th annual Southeast regional conference
A spectral approach to learning structural variations in graphs
Pattern Recognition
Predicting football results using Bayesian nets and other machine learning techniques
Knowledge-Based Systems
Graph embedding using tree edit-union
Pattern Recognition
Incremental learning of cognitive concepts: a hidden variable networks approach
PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
International Journal of Hybrid Intelligent Systems
A New Singly Connected Network Classifier based on Mutual Information
Intelligent Data Analysis
A computational framework for package planning
International Journal of Knowledge-based and Intelligent Engineering Systems
A Bayesian approach for structural learning with hidden Markov models
Scientific Programming - Hidden Markov Models
Expert Systems with Applications: An International Journal
The Journal of Machine Learning Research
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
The Journal of Machine Learning Research
Approximation algorithms for budgeted learning problems
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
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 network learning algorithms using structural restrictions
International Journal of Approximate Reasoning
Finding low-entropy sets and trees from binary data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning and modeling biosignatures from tissue images
Computers in Biology and Medicine
Complexity measurement of fundamental pseudo-independent models
International Journal of Approximate Reasoning
Supervised model-based visualization of high-dimensional data
Intelligent Data Analysis
Likelihood based classification in Bayesian networks
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Biomedical Informatics
Expert Systems with Applications: An International Journal
DirichletRank: Solving the zero-one gap problem of PageRank
ACM Transactions on Information Systems (TOIS)
Reconfigurable computing for learning Bayesian networks
Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays
Simulation of adaptive project management analytics
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Modelling gene functional linkages using yeast microarray data
International Journal of Bioinformatics Research and Applications
Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks
International Journal of Data Mining and Bioinformatics
Agent learning in the multi-agent contracting system [MACS]
Decision Support Systems
On optimizing the selection of business transformation projects
IBM Systems Journal
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers
Computer Methods and Programs in Biomedicine
Discriminative parameter learning for Bayesian networks
Proceedings of the 25th international conference on Machine learning
A Recursive Method for Structural Learning of Directed Acyclic Graphs
The Journal of Machine Learning Research
Genetic networks: processing data, regulatory network modelling and their analysis
Optimization Methods & Software - Systems Analysis, Optimization and Data Mining in Biomedicine
Approximation algorithms for restricted Bayesian network structures
Information Processing Letters
Adapting Bayes network structures to non-stationary domains
International Journal of Approximate Reasoning
Boosted Bayesian network classifiers
Machine Learning
The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Bayesian Network Structure Ensemble Learning
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
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
ECML '07 Proceedings of the 18th European conference on Machine Learning
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
ECML '07 Proceedings of the 18th European conference on Machine Learning
AIS-Based Bootstrapping of Bayesian Networks for Identifying Protein Energy Route
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
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
Optimising dynamic graphical models for video content analysis
Computer Vision and Image Understanding
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 Bayesian Approach to Attention Control and Concept Abstraction
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Learning Bayesian networks for discrete data
Computational Statistics & Data Analysis
Calling communities analysis and identification using machine learning techniques
Expert Systems with Applications: An International Journal
Enabling Large-Scale Bayesian Network Learning by Preserving Intercluster Directionality
IEICE - Transactions on Information and Systems
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Hedged predictions for traditional Chinese chronic gastritis diagnosis with confidence machine
Computers in Biology and Medicine
A generative model for graph matching and embedding
Computer Vision and Image Understanding
Structure learning of Bayesian networks using constraints
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Learning robust cell signalling models from high throughput proteomic data
International Journal of Bioinformatics Research and Applications
Scalable pseudo-likelihood estimation in hybrid random fields
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Bayesian Inference Under Probability Constraints
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Learning directed probabilistic logical models: ordering-search versus structure-search
Annals of Mathematics and Artificial Intelligence
Bayesian learning of Bayesian networks with informative priors
Annals of Mathematics and Artificial Intelligence
Bayesian Belief Network for Tsunami Warning Decision Support
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Reforestation planning using Bayesian networks
Environmental Modelling & Software
Reverse engineering of gene regulatory networks: a comparative study
EURASIP Journal on Bioinformatics and Systems Biology - Special issue on network structure and biological function: Reconstruction, modelling, and statistical approaches
Landmark detection from mobile life log using a modular Bayesian network model
Expert Systems with Applications: An International Journal
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
An Information Roadmap Method for Robotic Sensor Path Planning
Journal of Intelligent and Robotic Systems
On the classification performance of TAN and general Bayesian networks
Knowledge-Based Systems
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
A comparison of novel and state-of-the-art polynomial Bayesian network learning algorithms
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Discriminative training of Markov logic networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning graphical model structure using L1-regularization paths
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Markov blanket feature selection for support vector machines
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
A study of causal discovery with weak links and small samples
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Journal of Artificial Intelligence Research
Finding a path is harder than finding a tree
Journal of Artificial Intelligence Research
Learning probabilistic relational models
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Learning Bayesian network equivalence classes with Ant Colony optimization
Journal of Artificial Intelligence Research
Efficient Markov network structure discovery using independence tests
Journal of Artificial Intelligence Research
Active learning for structure in Bayesian networks
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Refining the structure of a stochastic context-free grammar
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Data mining based Bayesian networks for best classification
Computational Statistics & Data Analysis
Using a local discovery ant algorithm for Bayesian network structure learning
IEEE Transactions on Evolutionary Computation
Impact of censoring on learning Bayesian networks in survival modelling
Artificial Intelligence in Medicine
A conditional independence algorithm for learning undirected graphical models
Journal of Computer and System Sciences
Information-driven sensor path planning by approximate cell decomposition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita
Mining and visualising ordinal data with non-parametric continuous BBNs
Computational Statistics & Data Analysis
Learning graphical game models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Exploiting association and correlation rules parameters for learning Bayesian networks
Intelligent Data Analysis
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
Performance debugging in data centers: doing more with less
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Scalable statistical learning: a modular Bayesian/Markov network approach
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Learning Bayesian networks to perform feature selection
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
Learning Bayesian network parameters under order constraints
International Journal of Approximate Reasoning
Learning parameters of Bayesian networks from incomplete data via importance sampling
International Journal of Approximate Reasoning
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Inference of gene regulatory network using modified genetic algorithm
ISB '10 Proceedings of the International Symposium on Biocomputing
Bayesian network modeling for evolutionary genetic structures
Computers & Mathematics with Applications
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Tree edit distance from information theory
GbRPR'03 Proceedings of the 4th IAPR international conference on Graph based representations in pattern recognition
Modelling multiple-classifier relationships using Bayesian belief networks
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Building a GA from design principles for learning Bayesian networks
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Entropy-based authorship search in large document collections
ECIR'07 Proceedings of the 29th European conference on IR research
Understanding research field evolving and trend with dynamic Bayesian networks
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Active learning of dynamic Bayesian networks in Markov decision processes
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
An improved greedy Bayesian network learning algorithm on limited data
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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
Fast NML computation for Naive Bayes models
DS'07 Proceedings of the 10th international conference on Discovery science
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
A novel ordering-based Greedy Bayesian network learning algorithm on limited data
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Probabilistic inductive logic programming
Bayesian discovery of linear acyclic causal models
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Exact structure discovery in Bayesian networks with less space
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Computing posterior probabilities of structural features in Bayesian networks
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
ICNC'09 Proceedings of the 5th international conference on Natural computation
Learning Bayesian network structure from incomplete data without any assumption
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
Information Sciences: an International Journal
ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs
Proceedings of the 24th ACM International Conference on Supercomputing
Causal Inference for Structural Equations: With an Application to Wage-Price Spiral
Computational Economics
Effective structure learning for EDA via L1-regularizedbayesian networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Entropy measurement-based estimation model for bayesian optimization algorithm
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Learning Bayesian networks from survival data using weighting censored instances
Journal of Biomedical Informatics
Heart murmurs identification using random forests in assistive environments
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
ACM Transactions on Internet Technology (TOIT)
Instruction Cache Prediction Using Bayesian Networks
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Causal pattern recovery from neural spike train data using the Snap Shot Score
Journal of Computational Neuroscience
Building classifiers using Bayesian networks
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Learning Bayesian networks from incomplete data
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Learning Bayesian networks with integration of indirect prior knowledge
International Journal of Data Mining and Bioinformatics
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
A multiple system performance monitoring model for web services
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Link-based text classification using Bayesian networks
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
PCOPM: a probabilistic CBR framework for obesity prescription management
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
An introduction to Bayesian techniques for sensor networks
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Parameter learning in Bayesian network using semantic constraints of conversational feedback
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Globally optimal structure learning of Bayesian networks from data
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Artificial Intelligence Review
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
Learning a restricted Bayesian network for object detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An Efficient Algorithm for Learning Bayesian Networks from Data
Fundamenta Informaticae - From Mathematical Beauty to the Truth of Nature: to Jerzy Tiuryn on his 60th Birthday
A probabilistic approach for learning folksonomies from structured data
Proceedings of the fourth ACM international conference on Web search and data mining
Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Data Mining on DNA Sequences of Hepatitis B Virus
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Data Mining and Knowledge Discovery
Learning factorizations in estimation of distribution algorithms using affinity propagation
Evolutionary Computation
Long term cardiovascular risk models' combination
Computer Methods and Programs in Biomedicine
Learning Instance-Specific Predictive Models
The Journal of Machine Learning Research
Learning Non-Stationary Dynamic Bayesian Networks
The Journal of Machine Learning Research
Turn-taking cues in task-oriented dialogue
Computer Speech and Language
Bayesian networks for social modeling
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Inference and Learning with Hierarchical Shape Models
International Journal of Computer Vision
A new method of learning Bayesian networks structures from incomplete data
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Query relaxation for star queries on RDF
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
A cooperative coevolutionary genetic algorithm for learning bayesian network structures
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Bayesian networks learning for strategies in artificial life
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Discovering shakers from evolving entities via cascading graph inference
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Structure Learning of Bayesian Networks using Constraints
The Journal of Machine Learning Research
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
The Journal of Machine Learning Research
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
The Journal of Machine Learning Research
Parallel Algorithm for Learning Optimal Bayesian Network Structure
The Journal of Machine Learning Research
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Locally averaged Bayesian Dirichlet metrics
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Ancestor relations in the presence of unobserved variables
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Incorporating expert knowledge when learning Bayesian network structure: A medical case study
Artificial Intelligence in Medicine
Estimating selectivity for joined RDF triple patterns
Proceedings of the 20th ACM international conference on Information and knowledge management
Code churn estimation using organisational and code metrics: An experimental comparison
Information and Software Technology
Review: Bayesian networks in environmental modelling
Environmental Modelling & Software
Inferring parameters and structure of latent variable models by variational bayes
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Discovering the hidden structure of complex dynamic systems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Fast learning from sparse data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Causal discovery from a mixture of experimental and observational data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A hybrid anytime algorithm for the construction of causal models from sparse data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Data analysis with bayesian networks: a bootstrap approach
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning bayesian network structure from massive datasets: the «sparse candidate« algorithm
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
Learning Bayesian networks from incomplete data with stochastic search algorithms
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Finding optimal bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A bayesian network scoring metric that is based on globally uniform parameter priors
UAI'02 Proceedings of the Eighteenth 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
Asymptotic model selection for naive Bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A Bayesian method for causal modeling and discovery under selection
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Being Bayesian about network structure
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Tractable Bayesian learning of tree belief networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A branch-and-bound algorithm for MDL learning Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Model criticism of Bayesian networks with latent variables
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Learning the dimensionality of hidden variables
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Improved learning of Bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Classifier learning with supervised marginal likelihood
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
On the semi-Markov equivalence of causal models
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Minimum encoding approaches for predictive modeling
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A multivariate discretization method for learning Bayesian networks from mixed data
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning mixtures of DAG models
UAI'98 Proceedings of the Fourteenth 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
A Bayesian approach to learning causal networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Exploring parallelism in learning belief networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Sequential update of Bayesian network structure
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete databases
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Score and information for recursive exponential models with incomplete data
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Decision-analytic approaches to operational decision making: application and observation
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Learning equivalence classes of Bayesian network structures
UAI'96 Proceedings of the Twelfth international 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
On the sample complexity of learning Bayesian networks
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
Critical remarks on single link search in learning belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models
The Journal of Machine Learning Research
An algorithm for cooperative learning of bayesian network structure from data
CSCWD'04 Proceedings of the 8th international conference on Computer Supported Cooperative Work in Design I
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
A spectral generative model for graph structure
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Improving bayesian network structure search with random variable aggregation hierarchies
ECML'06 Proceedings of the 17th European conference on Machine Learning
Bayesian learning with mixtures of trees
ECML'06 Proceedings of the 17th European conference on Machine Learning
Learning bayesian networks structures based on memory binary particle swarm optimization
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Robust independence testing for constraint-based learning of causal structure
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning continuous time bayesian networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Automated analytic asymptotic evaluation of the marginal likelihood for latent models
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning causal structures based on markov equivalence class
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
An improved bayesian network learning algorithm based on dependency analysis
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Parent assignment is hard for the MDL, AIC, and NML costs
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Effective and scalable authorship attribution using function words
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Learning Bayesian network classifiers by risk minimization
International Journal of Approximate Reasoning
Entropy-based efficiency enhancement techniques for evolutionary algorithms
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Using relative entropy for authorship attribution
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Learning bayesian networks structure with continuous variables
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
MCMC learning of bayesian network models by markov blanket decomposition
ECML'05 Proceedings of the 16th European conference on Machine Learning
Learning bayesian networks does not have to be NP-Hard
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
Player modeling impact on player's entertainment in computer games
UM'05 Proceedings of the 10th international conference on User Modeling
Knowledge-Based operations for graphical models in planning
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Constrained score+(local)search methods for learning bayesian networks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the use of restrictions for learning bayesian networks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Foundation for the new algorithm learning pseudo-independent models
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
A linear generative model for graph structure
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Bayesian networks learning for gene expression datasets
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Stock price forecast using Bayesian network
Expert Systems with Applications: An International Journal
Computational Statistics & Data Analysis
Dynamic and contextualised behavioural knowledge in autonomic communications
WAC'04 Proceedings of the First international IFIP conference on Autonomic Communication
Ranking gene regulatory network models with microarray data and bayesian network
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
A fast calculation of metric scores for learning Bayesian network
International Journal of Automation and Computing
Coupling bayesian networks with GIS-Based cellular automata for modeling land use change
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
Evaluation methods and strategies for the interactive use of classifiers
International Journal of Human-Computer Studies
Learning hybrid bayesian networks by MML
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Causal discovery with prior information
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Calibrating bayesian network representations of social-behavioral models
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
On leveraging stochastic models for remote attestation
INTRUST'10 Proceedings of the Second international conference on Trusted Systems
Searching optimal bayesian network structure on constraint search space: super-structure approach
JSAI-isAI'10 Proceedings of the 2010 international conference on New Frontiers in Artificial Intelligence
Data Mining and Knowledge Discovery
Dependence tree structure estimation via copula
International Journal of Automation and Computing
Bayesian Networks for the management of greenhouse gas emissions in the British agricultural sector
Environmental Modelling & Software
Exploring many-core design templates for FPGAs and ASICs
International Journal of Reconfigurable Computing - Special issue on Selected Papers from the International Conference on Reconfigurable Computing and FPGAs (ReConFig'10)
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Bayesian learning for cardiac SPECT image interpretation
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
Artificial Intelligence in Medicine
An optimization-based approach for the design of Bayesian networks
Mathematical and Computer Modelling: An International Journal
Good practice in Bayesian network modelling
Environmental Modelling & Software
Artificial Intelligence in Medicine
Medical informatics: reasoning methods
Artificial Intelligence in Medicine
Bayesian model of the social effects of emotion in decision-making in multiagent systems
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Learning bayesian networks from Markov random fields: An efficient algorithm for linear models
ACM Transactions on Knowledge Discovery from Data (TKDD)
Learning from socio-economic characteristics of IP geo-locations for cybercrime prediction
International Journal of Business Intelligence and Data Mining
A proposed validation framework for expert elicited Bayesian Networks
Expert Systems with Applications: An International Journal
A Bayesian stochastic search method for discovering Markov boundaries
Knowledge-Based Systems
Reverse engineering of gene regulatory networks from biological data
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics
Parallel Bayesian network structure learning with application to gene networks
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Characteristic imsets for learning Bayesian network structure
International Journal of Approximate Reasoning
Same-decision probability: A confidence measure for threshold-based decisions
International Journal of Approximate Reasoning
ABC-miner: an ant-based bayesian classification algorithm
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
An experimental comparison of hybrid algorithms for bayesian network structure learning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
A bayesian scoring technique for mining predictive and non-spurious rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs
Statistical Analysis and Data Mining
Competing mutating agents for bayesian network structure learning
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
A multi-parent search operator for bayesian network building
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Characterization and detection of taxpayers with false invoices using data mining techniques
Expert Systems with Applications: An International Journal
New skeleton-based approaches for Bayesian structure learning of Bayesian networks
Applied Soft Computing
Score-based methods for learning Markov boundaries by searching in constrained spaces
Data Mining and Knowledge Discovery
Financial Data Modeling using a Hybrid Bayesian Network Structured Learning Algorithm
International Journal of Cognitive Informatics and Natural Intelligence
Edge evaluation in Bayesian network structures
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
Graph formation effects on social welfare and inequality in a networked resource game
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Reducing the size of databases for multirelational classification: a subgraph-based approach
Journal of Intelligent Information Systems
Identifying significant edges in graphical models of molecular networks
Artificial Intelligence in Medicine
Improving naive Bayes classifier using conditional probabilities
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Environmental Modelling & Software
Parallel globally optimal structure learning of Bayesian networks
Journal of Parallel and Distributed Computing
Finding optimal Bayesian networks using precedence constraints
The Journal of Machine Learning Research
An investigation of critical factors in medical device development through Bayesian networks
Expert Systems with Applications: An International Journal
Policy making for broadband adoption and usage in Chile through machine learning
Expert Systems with Applications: An International Journal
Computational Reconstruction of Transcriptional Relationships from ChIP-Chip Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
International Journal of Organizational and Collective Intelligence
Refining a Bayesian Network using a Chain Event Graph
International Journal of Approximate Reasoning
Adaptive thresholding in structure learning of a Bayesian network
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Annealed importance sampling for structure learning in Bayesian networks
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Bayesian probabilities for constraint-based causal discovery
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Information Sciences: an International Journal
Bayesian network modeling of Port State Control inspection findings and ship accident involvement
Expert Systems with Applications: An International Journal
FPGA implementation of particle swarm optimization for Bayesian network learning
Computers and Electrical Engineering
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
An efficient node ordering method using the conditional frequency for the K2 algorithm
Pattern Recognition Letters
Learning optimal bayesian networks: a shortest path perspective
Journal of Artificial Intelligence Research
Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases
International Journal of Hybrid Intelligent Systems
Determining dependence relations using a new score based on imprecise probabilities
Intelligent Data Analysis
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Learning Bayesian network structure: Towards the essential graph by integer linear programming tools
International Journal of Approximate Reasoning
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We describe a Bayesian approach for learning Bayesian networks from a combination of prior knowledge and statistical data. First and foremost, we develop a methodology for assessing informative priors needed for learning. Our approach is derived from a set of assumptions made previously as well as the assumption of likelihood equivalence, which says that data should not help to discriminate network structures that represent the same assertions of conditional independence. We show that likelihood equivalence when combined with previously made assumptions implies that the user's priors for network parameters can be encoded in a single Bayesian network for the next case to be seen—a prior network—and a single measure of confidence for that network. Second, using these priors, we show how to compute the relative posterior probabilities of network structures given data. Third, we describe search methods for identifying network structures with high posterior probabilities. We describe polynomial algorithms for finding the highest-scoring network structures in the special case where every node has at most k = 1 parent. For the general case (k 1), which is NP-hard, we review heuristic search algorithms including local search, iterative local search, and simulated annealing. Finally, we describe a methodology for evaluating Bayesian-network learning algorithms, and apply this approach to a comparison of various approaches.