Machine Learning - Special issue on learning with probabilistic representations
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
Dynamic Trees: Learning to Model Outdoor Scenes
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
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
Image Modeling with Position-Encoding Dynamic Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning with mixtures of trees
The Journal of Machine Learning Research
Multimodal metadata fusion using causal strength
Proceedings of the 13th annual ACM international conference on Multimedia
Learning class-discriminative dynamic Bayesian networks
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
Bayesian Network Learning with Parameter Constraints
The Journal of Machine Learning Research
Temporal sketch recognition in interspersed drawings
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
Sketch recognition in interspersed drawings using time-based graphical models
Computers and Graphics
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Bayesian Network Decomposition for Modeling Breast Cancer Detection
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Modeling human reasoning about meta-information
International Journal of Approximate Reasoning
Using Multinets for Learner Modelling
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Naïve possibilistic network classifiers
Fuzzy Sets and Systems
Generalized graphical abstractions for statistical machine translation
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Exploiting contextual independence in probabilistic inference
Journal of Artificial Intelligence Research
Exploiting causal independence in Bayesian network inference
Journal of Artificial Intelligence Research
Latent class models for collaborative filtering
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
On the role of context-specific independence in probabilistic inference
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A theoretical framework for learning Bayesian networks with parameter inequality constraints
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Jointly labeling multiple sequences: a factorial HMM approach
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Conditional log-linear structures for log-linear modelling
Computational Statistics & Data Analysis
Bayesian network classifiers for mineral potential mapping
Computers & Geosciences
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
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
The Journal of Machine Learning Research
Recursive probability trees for Bayesian networks
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
The Bayesian structural EM algorithm
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
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 metanetwork for context-sensitive feature relevance
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Efficient inference in large discrete domains
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning Bayesian network classifiers by risk minimization
International Journal of Approximate Reasoning
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
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Comparison of machine learning methods for intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Learning attentive fusion of multiple bayesian network classifiers
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs
Intelligent Data Analysis
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