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Eric J. Horvitz
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Microsoft Resear
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| Contact Information |
Email : horvitz@microsoft.com
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| Mailing Address |
One Microsoft Way
Redmond,
WA
98052-6399
USA
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| Publications in UAI |
UAI-1990
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Ideal Reformulation of Belief Networks
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Problem Formulation as the Reduction of a Decision Model
UAI-1987
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Reasoning about Beliefs and Actions under Computational Resource Constraints
UAI-1986
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The Myth of Modularity In Rule-Based Systems for Reasoning with Uncertainty
UAI-1985
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The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research
UAI-2007
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On Discarding, Caching, and Recalling Samples in Active Learning
UAI-2005
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Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service
UAI-2003
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Web-Based Question Answering: A Decision-Making Perspective
UAI-2002
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Coordinates: Probabilistic Forecasting of Presence and Availability
UAI-2001
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A Bayesian Approach to Tackling Hard Computational Problems
UAI-2000
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Conversation as Action Under Uncertainty
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Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach
UAI-1999
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Attention-Sensitive Alerting
UAI-1998
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Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
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The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users
UAI-1997
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Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering
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Time-Critical Reasoning: Representations and Application
UAI-1996
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A Graph-Theoretic Analysis of Information Value
UAI-1995
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Display of Information for Time-Critical Decision Making
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Reasoning, Metareasoning, and Mathematical Truth: Studies of Theorem Proving under Limited Resources
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Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-based Diagnosis
UAI-1993
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Utility-Based Abstraction and Categorization
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Reasoning about the Value of Decision-Model Refinement: Methods and Application
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A Synthesis of Logical and Probabilistic Reasoning for Program Understanding and Debugging
UAI-1992
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Reformulating Inference Problems Through Selective Conditioning
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Dynamic Network Models for Forecasting
UAI-1991
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An Approximate Nonmyopic Computation for Value of Information
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Time-Dependent Utility and Action Under Uncertainty
UAI-1990
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Ideal Reformulation of Belief Networks
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Problem Formulation as the Reduction of a Decision Model
UAI-1989
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The Compilation of Decision Models
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Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources
UAI-1987
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Reasoning About Beliefs and Actions Under Computational Resource Constraints
UAI-1986
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The Myth of Modularity in Rule-Based Systems
UAI-1985
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Modular Belief Updates and Confusion about Measures of Certainty in Artificial Intelligence Research
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