Machine Learning - Special issue on learning with probabilistic representations
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
Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
A structural EM algorithm for phylogenetic inference
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Learning probabilistic relational models
Relational Data Mining
Modeling dependencies in protein-DNA binding sites
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
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
Probabilistic Relational Models
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Data perturbation for escaping local maxima in learning
Eighteenth national conference on Artificial intelligence
Information Sciences—Informatics and Computer Science: An International Journal
Large-Scale Computational Modeling of Genetic Regulatory Networks
Artificial Intelligence Review
Critical event prediction for proactive management in large-scale computer clusters
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Hierarchical Latent Class Models for Cluster Analysis
The Journal of Machine Learning Research
Web-Based Knowledge Acquisition to Impute Missing Values for Classification
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
"Ideal Parent" structure learning for continuous variable networks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
Normative selection of Bayesian networks
Journal of Multivariate Analysis
Cost-Constrained Data Acquisition for Intelligent Data Preparation
IEEE Transactions on Knowledge and Data Engineering
Learning Shape-Classes Using a Mixture of Tree-Unions
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Missing values prediction with K2
Intelligent Data Analysis
Rule mining with prior knowledge -- a belief networks approach
Intelligent Data Analysis
Journal of Biomedical Informatics
Bayesian networks for imputation in classification problems
Journal of Intelligent Information Systems
Latent tree models and diagnosis in traditional Chinese medicine
Artificial Intelligence in Medicine
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Discovering Latent Structures: Experience with the CoIL Challenge 2000 Data Set
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Learning Spatial Context: Using Stuff to Find Things
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
A Bayesian Approach to Attention Control and Concept Abstraction
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Fundamenta Informaticae - Progress on Multi-Relational 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
Bayesian network structure learning using cooperative coevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Speaker recognition with mixtures of Gaussians with sparse regression matrices
HLT-SRWS '04 Proceedings of the Student Research Workshop at HLT-NAACL 2004
Towards learning stochastic logic programs from proof-banks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Integrative construction and analysis of condition-specific biological networks
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Learning probabilistic relational models
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Learning forward models for robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Model gene network by semi-fixed Bayesian network
Expert Systems with Applications: An International Journal
Robust graphical modeling with t-distributions
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Structural-EM for learning PDG models from incomplete data
International Journal of Approximate Reasoning
Learning Bayesian network structure from incomplete data without any assumption
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Causal pattern recovery from neural spike train data using the Snap Shot Score
Journal of Computational Neuroscience
Learning Non-Stationary Dynamic Bayesian Networks
The Journal of Machine Learning Research
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
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
Discovering the hidden structure of complex dynamic systems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Staged mixture modelling and boosting
UAI'02 Proceedings of the Eighteenth 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
Learning mixtures of DAG models
UAI'98 Proceedings of the Fourteenth 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 network equivalence classes from incomplete data
DS'06 Proceedings of the 9th international conference on Discovery Science
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A dynamic bayesian network based structural learning towards automated handwritten digit recognition
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
DBN-based structural learning and optimisation for automated handwritten character recognition
Pattern Recognition Letters
Computational Statistics & Data Analysis
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Improving intelligent tutoring systems: using expectation maximization to learn student skill levels
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Latent variable discovery in classification models
Artificial Intelligence in Medicine
Clustering and categorization of Brazilian portuguese legal documents
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Riffled independence for efficient inference with partial rankings
Journal of Artificial Intelligence Research
Classification approach based on non-negative least squares
Neurocomputing
Learning Bayesian network classifiers from label proportions
Pattern Recognition
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