David Heckerman

Interfaces, 2003

Model-Based Clustering and Visualization of Navigation Patterns on a Web Site.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2003

Learning Bayesian Networks From Dependency Networks: A Preliminary Study.

[BibT_eX]

[DOI]

Geoff Hulten

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Recommendation as a Stochastic Sequential Decision Problem.

[BibT_eX]

[DOI]

Ronen I. Brafman

Guy Shani

Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003

2002

The Learning-Curve Sampling Method Applied to Model-Based Clustering.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2002

Staged Mixture Modelling and Boosting.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

Autoregressive Tree Models for Time-Series Analysis.

[BibT_eX]

[DOI]

Proceedings of the Second SIAM International Conference on Data Mining, 2002

2001

Accelerating EM for Large Databases.

[BibT_eX]

[DOI]

Mach. Learn., 2001

An Experimental Comparison of Model-Based Clustering Methods.

[BibT_eX]

[DOI]

Marina Meila

Mach. Learn., 2001

Statistical Models for Data Mining.

[BibT_eX]

[DOI]

Paolo Giudici

Joe Whittaker

Data Min. Knowl. Discov., 2001

Separating Appearance from Deformation.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

The Learning Curve Method Applied to Clustering.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

A comparison of scientific and engineering criteria for Bayesian model selection.

[BibT_eX]

[DOI]

Stat. Comput., 2000

Dependency Networks for Inference, Collaborative Filtering, and Data Visualization.

[BibT_eX]

[DOI]

Robert Rounthwaite

J. Mach. Learn. Res., 2000

Dependency Networks for Collaborative Filtering and Data Visualization.

[BibT_eX]

[DOI]

Robert Rounthwaite

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

A Decision Theoretic Approach to Targeted Advertising.

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Targeted advertising with inventory management.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM Conference on Electronic Commerce (EC-00), 2000

Visualization of navigation patterns on a Web site using model-based clustering.

[BibT_eX]

[DOI]

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999

Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions.

[BibT_eX]

[DOI]

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Fast Learning from Sparse Data.

[BibT_eX]

[DOI]

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

On the geometry of DAG models with hidden variables.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Anonymous Microsoft Web Data.

[BibT_eX]

[DOI]

Jack S. Breese

Dataset, October, 1998

Probabilistic relevance relations.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 1998

Learning Mixtures of DAG Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

An Experimental Comparison of Several Clustering and Initialization Methods.

[BibT_eX]

[DOI]

Marina Meila

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users.

[BibT_eX]

[DOI]

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Inferring Informational Goals from Free-Text Queries: A Bayesian Approach.

[BibT_eX]

[DOI]

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Empirical Analysis of Predictive Algorithms for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

A Tutorial on Learning with Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Learning in Graphical Models, 1998

Asymptotic Model Selection for Directed Networks with Hidden Variables.

[BibT_eX]

[DOI]

Proceedings of the Learning in Graphical Models, 1998

1997

Probabilistic Independence Networks for Hidden Markov Probability Models.

[BibT_eX]

[DOI]

Padhraic Smyth

Michael I. Jordan

Neural Comput., 1997

Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables.

[BibT_eX]

[DOI]

Mach. Learn., 1997

Bayesian Networks for Data Mining.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 1997

Structure and Parameter Learning for Causal Independence and Causal Interaction Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Models and Selection Criteria for Regression and Classification.

[BibT_eX]

[DOI]

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

A Bayesian Approach to Learning Bayesian Networks with Local Structure.

[BibT_eX]

[DOI]

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Challenge: What is the Impact of Bayesian Networks on Learning?

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996

Causal independence for probability assessment and inference using Bayesian networks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 1996

Decision-theoretic case-based reasoning.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 1996

Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets.

[BibT_eX]

[DOI]

Artif. Intell., 1996

Asymptotic Model Selection for Directed Networks with Hidden Variables.

[BibT_eX]

[DOI]

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network.

[BibT_eX]

[DOI]

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment.

[BibT_eX]

[DOI]

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Bayesian Networks for Knowledge Discovery.

[BibT_eX]

Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction.

[BibT_eX]

Max Henrion

Henri Jacques Suermondt

Proceedings of the Uncertainty Management in Information Systems: From Needs to Solution., 1996

1995

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data.

[BibT_eX]

[DOI]

Mach. Learn., 1995

Decision-Theoretic Foundations for Causal Reasoning.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 1995

On Finding a Cycle Basis with a Shortest Maximal Cycle.

[BibT_eX]

[DOI]

Inf. Process. Lett., 1995

Editorial: real-world applications of uncertain reasoning.

[BibT_eX]

[DOI]

E. H. Mamdani

Michael P. Wellman

Int. J. Hum. Comput. Stud., 1995

Real-World Applications of Bayesian Networks - Introduction.

[BibT_eX]

[DOI]

E. H. Mamdani

Michael P. Wellman

Commun. ACM, 1995

Bayesian Networks.

[BibT_eX]

[DOI]

Michael P. Wellman

Commun. ACM, 1995

Decision-Theoretic Troubleshooting.

[BibT_eX]

[DOI]

Koos Rommelse

Commun. ACM, 1995

A Definition and Graphical Representation for Causality.

[BibT_eX]

[DOI]

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains.

[BibT_eX]

[DOI]

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

A Bayesian Approach to Learning Causal Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Learning With Bayesian Networks (Abstract).

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1995

1994

A Decision-based View of Causality.

[BibT_eX]

[DOI]

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

A New Look at Causal Independence.

[BibT_eX]

[DOI]

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Learning Gaussian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993

An Approximate Nonmyopic Computation for Value of Information.

[BibT_eX]

[DOI]

Blackford Middleton

IEEE Trans. Pattern Anal. Mach. Intell., 1993

Diagnosis of Multiple Faults: A Sensitivity Analysis.

[BibT_eX]

[DOI]

Michael Shwe

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Causal Independence for Knowledge Acquisition and Inference.

[BibT_eX]

[DOI]

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Inference Algorithms for Similarity Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1992

From certainty factors to belief networks.

[BibT_eX]

[DOI]

Edward H. Shortliffe

Artif. Intell. Medicine, 1992

1991

Advances in Probabilistic Reasoning.

[BibT_eX]

[DOI]

Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Probabilistic similarity networks.

[BibT_eX]

ACM Doctoral dissertation awards, MIT Press, ISBN: 978-0-262-08206-8, 1991

1990

Probabilistic similarity networks.

[BibT_eX]

[DOI]

Networks, 1990

A combination of cutset conditioning with clique-tree propagation in the Pathfinder system.

[BibT_eX]

[DOI]

Henri Jacques Suermondt

Gregory F. Cooper

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

Problem formulation as the reduction of a decision model.

[BibT_eX]

[DOI]

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

Similarity networks for the construction of multiple-faults belief networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

separable and transitive graphoids.

[BibT_eX]

[DOI]

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

1989

A Tractable Inference Algorithm for Diagnosing Multiple Diseases.

[BibT_eX]

[DOI]

Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study.

[BibT_eX]

[DOI]

Gregory F. Cooper

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988

A perspective on confidence and its use in focusing attention during knowledge acquisition.

[BibT_eX]

Holly Brügge Jimison

Int. J. Approx. Reason., 1988

An empirical comparison of three inference methods.

[BibT_eX]

Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

1987

Thinking Backward for Knowledge Acquisition.

[BibT_eX]

[DOI]

AI Mag., 1987

A Bayesian Perspective on Confidence.

[BibT_eX]

[DOI]

Holly Brügge Jimison

Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987

On the Expressiveness of Rule-based Systems for Reasoning with Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986

A backwards view for assessment.

[BibT_eX]

[DOI]

Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

The myth of modularity in rule-based systems for reasoning with uncertainty.

[BibT_eX]

[DOI]

Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

An axiomatic framework for belief updates.

[BibT_eX]

[DOI]

Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

A Framework for Comparing Alternative Formalisms for Plausible Reasoning.

[BibT_eX]

[DOI]

Curtis P. Langlotz

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985

The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research.

[BibT_eX]

[DOI]

Proceedings of the UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, 1985

Probabilistic Interpretation for MYCIN's Certainty Factors.

[BibT_eX]

[DOI]