Machine Learning - Special issue on learning with probabilistic representations
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Speech recognition with dynamic Bayesian networks
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Knowledge lean word-sense disambiguation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Clustering techniques for large data sets—from the past to the future
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Robust Learning with Missing Data
Machine Learning
Learning probabilistic relational models
Relational Data Mining
Parameter Learning in Object-Oriented Bayesian Networks
Annals of Mathematics and Artificial Intelligence
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example
Computational Statistics & Data Analysis
Modeling dependencies in protein-DNA binding sites
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Model-based inference of haplotype block variation
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Probabilistic Relational Models
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
A differential approach to inference in Bayesian networks
Journal of the ACM (JACM)
Data perturbation for escaping local maxima in learning
Eighteenth national conference on Artificial intelligence
Learning with mixtures of trees
The Journal of Machine Learning Research
Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Learning probabilistic networks
The Knowledge Engineering Review
Bayesian networks in educational testing
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
Hierarchical Latent Class Models for Cluster Analysis
The Journal of Machine Learning Research
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
An interactive spreadsheet for teaching the forward-backward algorithm
ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
Toward a decision-theoretic framework for affect recognition and user assistance
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
International Journal of Hybrid Intelligent Systems
Vision systems with the human in the loop
EURASIP Journal on Applied Signal Processing
Missing values prediction with K2
Intelligent Data Analysis
COMET: A Collaborative Tutoring System for Medical Problem-Based Learning
IEEE Intelligent Systems
The visual active memory perspective on integrated recognition systems
Image and Vision Computing
Latent tree models and diagnosis in traditional Chinese medicine
Artificial Intelligence in Medicine
Bayesian networks with a logistic regression model for the conditional probabilities
International Journal of Approximate Reasoning
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
DiMaC: a system for cleaning disguised missing data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
DiMaC: a disguised missing data cleaning tool
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A Bayesian network for IT governance performance prediction
Proceedings of the 10th international conference on Electronic commerce
Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
EDSC: efficient density-based subspace clustering
Proceedings of the 17th ACM conference on Information and knowledge management
Multifractal-based cluster hierarchy optimisation algorithm
International Journal of Business Intelligence and Data Mining
Inexact matching of ontology graphs using expectation-maximization
Web Semantics: Science, Services and Agents on the World Wide Web
Learning Bayesian network parameters under incomplete data with domain knowledge
Pattern Recognition
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
Reverse Engineering of Regulatory Relations in Gene Networks by a Probabilistic Approach
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Learning distributed bayesian network structure using majority-based method
Journal of Computational Methods in Sciences and Engineering
A decision theoretic model for stress recognition and user assistance
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Space-efficient inference in dynamic probabilistic networks
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Learning probabilities for noisy first-order rules
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Challenge: what is the impact of Bayesian networks on learning?
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland
Environmental Modelling & Software
Clinical-reasoning skill acquisition through intelligent group tutoring
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Local learning in probabilistic networks with hidden variables
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Artificial Intelligence in Medicine
Computational Statistics & Data Analysis
Transformer Diagnosis Using Probabilistic Vibration Models
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Learning parameters of Bayesian networks from incomplete data via importance sampling
International Journal of Approximate Reasoning
Building respectful interface agents
International Journal of Human-Computer Studies
Revision of first-order Bayesian classifiers
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
The use of a Bayesian network for web effort estimation
ICWE'07 Proceedings of the 7th international conference on Web engineering
Partitioning-clustering techniques applied to the electricity price time series
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Integrative viral molecular epidemiology: hepatitis C virus modeling
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Learning Bayesian network structure from incomplete data without any assumption
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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
MC-tree: Improving Bayesian anytime classification
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Multifactor expectation maximization for factor graphs
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Trustworthy Service Selection and Composition
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A hierarchical Naïve Bayes model for approximate identity matching
Decision Support Systems
Combining Bayesian Networks and Total Cost of Ownership method for supplier selection analysis
Computers and Industrial Engineering
Review: Bayesian networks in environmental modelling
Environmental Modelling & Software
Discovering the hidden structure of complex dynamic systems
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
A differential approach to inference in Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Learning the dimensionality of hidden variables
UAI'01 Proceedings of the Seventeenth 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
On the geometry of Bayesian graphical models with hidden variables
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Update rules for parameter estimation in Bayesian 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
An information-theoretic analysis of hard and soft assignment methods for clustering
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
The Information bottleneck EM algorithm
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Boltzmann machine learning with the latent maximum entropy principle
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Systematicity and idiosyncrasy in iconic gesture use: empirical analysis and computational modeling
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Modeling individual and collaborative problem solving in medical problem-based learning
UM'05 Proceedings of the 10th international conference on User Modeling
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Expert Systems with Applications: An International Journal
Predicting web development effort using a bayesian network
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
The Latent Maximum Entropy Principle
ACM Transactions on Knowledge Discovery from Data (TKDD)
Tutorial and selected approaches on parameter learning in bayesian network with incomplete data
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
A dynamic multimodal approach for assessing learners' interaction experience
Proceedings of the 15th ACM on International conference on multimodal interaction
A Multi-Objective Evolutionary Algorithm for enhancing Bayesian Networks hybrid-based modeling
Computers & Mathematics with Applications
A Bayesian network model for predicting pregnancy after in vitro fertilization
Computers in Biology and Medicine
A survey on latent tree models and applications
Journal of Artificial Intelligence Research
Application of Bayesian Networks for Autonomic Network Management
Journal of Network and Systems Management
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