Uncertainty in Artificial Intelligence
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Eric J. Horvitz
Microsoft Resear
Contact Information
Email : horvitz@microsoft.com
Mailing Address
One Microsoft Way
Redmond,  WA  98052-6399
USA
Publications in UAI

UAI-1990
:: Ideal Reformulation of Belief Networks
:: Problem Formulation as the Reduction of a Decision Model

UAI-1987
:: Reasoning about Beliefs and Actions under Computational Resource Constraints

UAI-1986
:: The Myth of Modularity In Rule-Based Systems for Reasoning with Uncertainty

UAI-1985
:: The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research

UAI-2007
:: On Discarding, Caching, and Recalling Samples in Active Learning

UAI-2005
:: Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service

UAI-2003
:: Web-Based Question Answering: A Decision-Making Perspective

UAI-2002
:: Coordinates: Probabilistic Forecasting of Presence and Availability

UAI-2001
:: A Bayesian Approach to Tackling Hard Computational Problems

UAI-2000
:: Conversation as Action Under Uncertainty
:: Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach

UAI-1999
:: Attention-Sensitive Alerting

UAI-1998
:: Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
:: The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users

UAI-1997
:: Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering
:: Time-Critical Reasoning: Representations and Application

UAI-1996
:: A Graph-Theoretic Analysis of Information Value

UAI-1995
:: Display of Information for Time-Critical Decision Making
:: Reasoning, Metareasoning, and Mathematical Truth: Studies of Theorem Proving under Limited Resources
:: Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-based Diagnosis

UAI-1993
:: Utility-Based Abstraction and Categorization
:: Reasoning about the Value of Decision-Model Refinement: Methods and Application
:: A Synthesis of Logical and Probabilistic Reasoning for Program Understanding and Debugging

UAI-1992
:: Reformulating Inference Problems Through Selective Conditioning
:: Dynamic Network Models for Forecasting

UAI-1991
:: An Approximate Nonmyopic Computation for Value of Information
:: Time-Dependent Utility and Action Under Uncertainty

UAI-1990
:: Ideal Reformulation of Belief Networks
:: Problem Formulation as the Reduction of a Decision Model

UAI-1989
:: The Compilation of Decision Models
:: Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources

UAI-1987
:: Reasoning About Beliefs and Actions Under Computational Resource Constraints

UAI-1986
:: The Myth of Modularity in Rule-Based Systems

UAI-1985
:: Modular Belief Updates and Confusion about Measures of Certainty in Artificial Intelligence Research


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