Theory refinement on Bayesian networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Context-specific independence in Bayesian networks
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
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Automatic inference of models for statistical code compression
Proceedings of the ACM SIGPLAN 1999 conference on Programming language design and implementation
Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Probabilistic query models for transaction data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic combination of text classifiers using reliability indicators: models and results
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
From promoter sequence to expression: a probabilistic framework
Proceedings of the sixth annual international conference on Computational biology
Using Feature Hierarchies in Bayesian Network Learning
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Lightweight Collaborative Filtering Method for Binary-Encoded Data
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Restart Policies with Dependence among Runs: A Dynamic Programming Approach
CP '02 Proceedings of the 8th International Conference on Principles and Practice of Constraint Programming
Logic, Knowledge Representation, and Bayesian Decision Theory
CL '00 Proceedings of the First International Conference on Computational Logic
Better Contextual Translation Using Machine Learning
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
Eighteenth national conference on Artificial intelligence
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
Refining a divisive partitioning algorithm for unsupervised clustering
Design and application of hybrid intelligent systems
Exact Bayesian Structure Discovery in Bayesian Networks
The Journal of Machine Learning Research
BusyBody: creating and fielding personalized models of the cost of interruption
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
The Combination of Text Classifiers Using Reliability Indicators
Information Retrieval
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
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Extraposition: a case study in German sentence realization
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A machine learning approach to the automatic evaluation of machine translation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Machine-learned contexts for linguistic operations in German sentence realization
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Computational aspects of Bayesian partition models
ICML '05 Proceedings of the 22nd international conference on Machine learning
A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Using decision trees to select the grammatical relation of a noun phrase
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
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
Obfuscating document stylometry to preserve author anonymity
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Journal of Biomedical Informatics
Mobile Opportunistic Planning: Methods and Models
UM '07 Proceedings of the 11th international conference on User Modeling
Learning MDP Action Models Via Discrete Mixture Trees
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Exploiting contextual independence in probabilistic inference
Journal of Artificial Intelligence Research
Conditional log-linear structures for log-linear modelling
Computational Statistics & Data Analysis
Learning probabilistic decision graphs
International Journal of Approximate Reasoning
Privacy enhancing profile disclosure
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
The independent choice logic and beyond
Probabilistic inductive logic programming
Entropy-based substructural local search for the bayesian optimization algorithm
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Improving continuous gesture recognition with spoken prosody
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Towards proactive event-driven computing
Proceedings of the 5th ACM international conference on Distributed event-based system
Jogger: models for context-sensitive reminding
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Fast learning from sparse data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks with restricted causal interactions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Coordinate: probabilistic forecasting of presence and availability
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Staged mixture modelling and boosting
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A decision theoretic approach to targeted advertising
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Dependency networks for collaborative filtering and data visualization
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A bayesian approach to tackling hard computational problems
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Using temporal data for making recommendations
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
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
Graphical models and exponential families
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Models and selection criteria for regression and classification
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Web-based question answering: a decision-making perspective
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A new inductive learning method for multilabel text categorization
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Predicting query performance via classification
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Effectiveness of document representation for classification
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Bayesian network learning with abstraction hierarchies and context-specific independence
ECML'05 Proceedings of the 16th European conference on Machine Learning
Bayesphone: precomputation of context-sensitive policies for inquiry and action in mobile devices
UM'05 Proceedings of the 10th international conference on User Modeling
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Document clustering using linear partitioning hyperplanes and reallocation
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Data sparsity issues in the collaborative filtering framework
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Distance-based bias in model-directed optimization of additively decomposable problems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Combining human and machine intelligence in large-scale crowdsourcing
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Rapid modeling and analyzing networks extracted from pre-structured news articles
Computational & Mathematical Organization Theory
A niching scheme for EDAs to reduce spurious dependencies
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Light at the end of the tunnel: a Monte Carlo approach to computing value of information
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distributions (CPDs) stored at each node. The majority of this work has concentrated on using decision-tree representations for the CPDs. In addition, researchers typically apply non-Bayesian (or asymptotically Bayesian) scoring functions such as MDL to evaluate the goodness-of-fit of networks to the data. In this paper we investigate a Bayesian approach to learning Bayesian networks that contain the more general decision-graph representations of the CPDs. First, we describe how to evaluate the posterior probability-- that is, the Bayesian score--of such a network, given a database of observed cases. Second, we describe various search spaces that can be used, in conjunction with a scoring function and a search procedure, to identify one or more high-scoring networks. Finally, we present an experimentd evaluation of the search spaces, using a greedy algorithm and a Bayesian scoring function.