An Approximate Nonmyopic Computation for Value of Information

May 16, 2015
David Heckerman, Eric J. Horvitz, Blackford Middleton

* Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991) 

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Problem Formulation as the Reduction of a Decision Model

May 16, 2015
David Heckerman, Eric J. Horvitz

* Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990) 

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

May 16, 2015
David Heckerman, Eric J. Horvitz

* Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998) 

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Modular Belief Updates and Confusion about Measures of Certainty in Artificial Intelligence Research

Jul 27, 2014
Eric J. Horvitz, David Heckerman

* Appears in Proceedings of the First Conference on Uncertainty in Artificial Intelligence (UAI1985) 

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The Myth of Modularity in Rule-Based Systems

Mar 27, 2013
David Heckerman, Eric J. Horvitz

* Appears in Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (UAI1986) 

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Reasoning About Beliefs and Actions Under Computational Resource Constraints

Mar 27, 2013
Eric J. Horvitz

* Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987) 

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Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources

Mar 27, 2013
Eric J. Horvitz, Jaap Suermondt, Gregory F. Cooper

* Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) 

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The Compilation of Decision Models

Mar 27, 2013
David Heckerman, John S. Breese, Eric J. Horvitz

* Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) 

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Ideal Reformulation of Belief Networks

Mar 27, 2013
John S. Breese, Eric J. Horvitz

* Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990) 

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Time-Dependent Utility and Action Under Uncertainty

Mar 20, 2013
Eric J. Horvitz, Geoffrey Rutledge

* Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991) 

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Reformulating Inference Problems Through Selective Conditioning

Mar 13, 2013
Paul Dagum, Eric J. Horvitz

* Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992) 

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Dynamic Network Models for Forecasting

Mar 13, 2013
Paul Dagum, Adam Galper, Eric J. Horvitz

* Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992) 

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A Synthesis of Logical and Probabilistic Reasoning for Program Understanding and Debugging

Mar 06, 2013
Lisa J. Burnell, Eric J. Horvitz

* Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993) 

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Reasoning about the Value of Decision-Model Refinement: Methods and Application

Mar 06, 2013
Kim-Leng Poh, Eric J. Horvitz

* Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993) 

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Utility-Based Abstraction and Categorization

Mar 06, 2013
Eric J. Horvitz, Adrian Klein

* Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993) 

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Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-based Diagnosis

Feb 20, 2013
Sampath Srinivas, Eric J. Horvitz

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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Reasoning, Metareasoning, and Mathematical Truth: Studies of Theorem Proving under Limited Resources

Feb 20, 2013
Eric J. Horvitz, Adrian Klein

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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Display of Information for Time-Critical Decision Making

Feb 20, 2013
Eric J. Horvitz, Matthew Barry

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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A Graph-Theoretic Analysis of Information Value

Feb 13, 2013
Kim-Leng Poh, Eric J. Horvitz

* Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996) 

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Time-Critical Reasoning: Representations and Application

Feb 06, 2013
Eric J. Horvitz, Adam Seiver

* Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997) 

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Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering

Feb 06, 2013
Eric J. Horvitz, Jed Lengyel

* Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997) 

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

Jan 30, 2013
Eric J. Horvitz, John S. Breese, David Heckerman, David Hovel, Koos Rommelse

* Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998) 

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Attention-Sensitive Alerting

Jan 23, 2013
Eric J. Horvitz, Andy Jacobs, David Hovel

* Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999) 

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Conversation as Action Under Uncertainty

Jan 16, 2013
Tim Paek, Eric J. Horvitz

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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A Bayesian Approach to Tackling Hard Computational Problems

Jan 10, 2013
Eric J. Horvitz, Yongshao Ruan, Carla P. Gomes, Henry Kautz, Bart Selman, David Maxwell Chickering

* Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001) 

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Coordinates: Probabilistic Forecasting of Presence and Availability

Dec 12, 2012
Eric J. Horvitz, Paul Koch, Carl Kadie, Andy Jacobs

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Web-Based Question Answering: A Decision-Making Perspective

Oct 19, 2012
David Azari, Eric J. Horvitz, Susan Dumais, Eric Brill

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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

Jul 04, 2012
Eric J. Horvitz, Johnson Apacible, Raman Sarin, Lin Liao

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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On Discarding, Caching, and Recalling Samples in Active Learning

Jun 20, 2012
Ashish Kapoor, Eric J. Horvitz

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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