Uncertainty in Artificial Intelligence
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David  Heckerman
Microsoft Research


Contact Information
Webpage : http://research.microsoft.com/~heckerman
Email : heckerma@microsoft.com
Phone : 425 935 26
Fax : 425 936 73
Mailing Address
One Microsoft Way
Redmond,  WA  98052
USA
Publications in UAI

UAI-1990
:: Problem Formulation as the Reduction of a Decision Model
:: Similarity Networks for the Construction of Multiple-Fault Belief Networks
:: A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System
:: Separable and Transitive Graphoids

UAI-1989
:: A Tractable Inference Algorithm for Diagnosing Multiple Diseases

UAI-1988
:: An Empirical Comparison of Three Inference Methods

UAI-1987
:: A Bayesian Perspective on Confidence

UAI-1986
:: A Backwards View for Assessment
:: An Axiomatic Framework for Belief Updates
:: The Myth of Modularity In Rule-Based Systems for Reasoning with Uncertainty

UAI-1985
:: Probabilistic Interpretations for MYCIN's Certainty Factors
:: The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research

UAI-2011
:: Correction for Hidden Confounders in the Genetic Analysis of Gene Expression

UAI-2008
:: Continuous Time Dynamic Topic Models

UAI-2007
:: Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach

UAI-2004
:: ARMA Time-Series Modeling with Graphical Models
:: Joint discovery of haplotype blocks and complex trait associations from SNP sequences

UAI-2003
:: Large-Sample Learning of Bayesian Networks is NP-Hard

UAI-2002
:: Staged Mixture Modelling and Boosting
:: An MDP-based Recommender System
:: CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence

UAI-2000
:: A Decision Theoretic Approach to Targeted Advertising
:: Dependency Networks for Collaborative Filtering and Data Visualization

UAI-1999
:: Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
:: Fast Learning from Sparse Data

UAI-1998
:: The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users
:: Empirical Analysis of Predictive Algorithms for Collaborative Filtering
:: An Experimental Comparison of Several Clustering and Initialization Methods
:: Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
:: Learning Mixtures of DAG Models

UAI-1997
:: A Bayesian Approach to Learning Bayesian Networks with Local Structure
:: Models and Selection Criteria for Regression and Classification
:: Structure and Parameter Learning for Causal Independence and Causal Interaction Models

UAI-1996
:: Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment
:: Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
:: Asymptotic Model Selection for Directed Networks with Hidden Variables

UAI-1995
:: A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks
:: A Bayesian Approach to Learning Causal Networks
:: A Definition and Graphical Representation for Causality
:: Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains

UAI-1994
:: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
:: Learning Gaussian Networks
:: A Decision-Based View of Causality
:: A New Look at Causal Independence

UAI-1993
:: Causal Independence for Knowledge Acquisition and Inference
:: Inference Algorithms for Similarity Networks
:: Diagnosis of Multiple Faults: A Sensitivity Analysis

UAI-1991
:: An Approximate Nonmyopic Computation for Value of Information
:: Advances in Probabilistic Reasoning

UAI-1990
:: Problem Formulation as the Reduction of a Decision Model
:: Similarity Networks for the Construction of Multiple-Faults Belief Networks
:: A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System
:: Separable and transitive graphoids

UAI-1989
:: A Tractable Inference Algorithm for Diagnosing Multiple Diseases
:: The Compilation of Decision Models

UAI-1988
:: An Empirical Comparison of Three Inference Methods

UAI-1987
:: The Role of Calculi in Uncertain Inference Systems
:: A Perspective on Confidence and Its Use in Focusing Attention During Knowledge Acquisition

UAI-1986
:: A Backwards View for Assessment
:: An Axiomatic Framework for Belief Updates
:: The Myth of Modularity in Rule-Based Systems

UAI-1985
:: Probabilistic Interpretations for MYCIN's Certainty Factors
:: Modular Belief Updates and Confusion about Measures of Certainty in Artificial Intelligence Research


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