John S. Breese

31 papers A 6Journal 24

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Ideal Partition of Resources for Metareasoning. CoRR Eric Horvitz, John S. Breese
2013	J	`jnl`	A New Look at Causal Independence CoRR David Heckerman, John S. Breese
2013	J	`jnl`	Automating Computer Bottleneck Detection with Belief Nets CoRR John S. Breese, Russ Blake
2013	J	`jnl`	Decision Making with Interval Influence Diagrams CoRR John S. Breese, Kenneth W. Fertig
2013	J	`jnl`	Decision-Theoretic Control of Problem Solving: Principles and Architecture CoRR John S. Breese, Michael R. Fehling
2013	J	`jnl`	Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment CoRR John S. Breese, David Heckerman
2013	J	`jnl`	Empirical Analysis of Predictive Algorithms for Collaborative Filtering CoRR John S. Breese, David Heckerman, Carl Myers Kadie
2013	J	`jnl`	Exact Reasoning Under Uncertainty CoRR Samuel Holtzman, John S. Breese
2013	J	`jnl`	IDEAL: A Software Package for Analysis of Influence Diagrams CoRR Sampath Srinivas, John S. Breese
2013	J	`jnl`	Ideal Reformulation of Belief Networks CoRR John S. Breese, Eric Horvitz
2013	J	`jnl`	Integrating Logical and Probabilistic Reasoning for Decision Making CoRR John S. Breese, Edison Tse
2013	J	`jnl`	Integrating Model Construction and Evaluation CoRR Robert P. Goldman, John S. Breese
2013	J	`jnl`	Interval Influence Diagrams CoRR Kenneth W. Fertig, John S. Breese
2013	J	`jnl`	Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001) CoRR John S. Breese, Daphne Koller
2013	J	`jnl`	The Compilation of Decision Models CoRR David Heckerman, John S. Breese, Eric Horvitz
2013	J	`jnl`	The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users CoRR Eric Horvitz, John S. Breese, David Heckerman, David Hovel, Koos Rommelse
1998	A	`conf`	Empirical Analysis of Predictive Algorithms for Collaborative Filtering. UAI John S. Breese, David Heckerman, Carl Myers Kadie
1996	J	`jnl`	Causal independence for probability assessment and inference using Bayesian networks. IEEE Trans. Syst. Man Cybern. Part A David Heckerman, John S. Breese
1996	A	`conf`	Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment. UAI John S. Breese, David Heckerman
1996	J	`jnl`	Decision-theoretic case-based reasoning. IEEE Trans. Syst. Man Cybern. Part A John S. Breese, David Heckerman
1995	A	`conf`	Automating Computer Bottleneck Detection with Belief Nets. UAI John S. Breese, Russ Blake
1995	J	`jnl`	Decision-Theoretic Troubleshooting. Commun. ACM David Heckerman, John S. Breese, Koos Rommelse
1994	A	`conf`	A New Look at Causal Independence. UAI David Heckerman, John S. Breese
1993	J	`jnl`	Probability Intervals Over Influence Diagrams. IEEE Trans. Pattern Anal. Mach. Intell. Kenneth W. Fertig, John S. Breese
1992	J	`jnl`	Construction of Belief and Decision Networks. Comput. Intell. John S. Breese
1992	J	`jnl`	From knowledge bases to decision models. Knowl. Eng. Rev. Michael P. Wellman, John S. Breese, Robert P. Goldman
1991	J	`jnl`	Decision Analysis and Expert Systems. AI Mag. Max Henrion, John S. Breese, Eric Horvitz
1989	—	`ch.`	Communication-Free Interactions among Rational Agents: A Probabilistic Approach. Distributed Artificial Intelligence Jeffrey S. Rosenschein, John S. Breese
1988	A	`conf`	Control of problem solving: principles and architecture. UAI John S. Breese, Michael R. Fehling
1988	J	`jnl`	Decision theory in expert systems and artificial intelligenc. Int. J. Approx. Reason. Eric Horvitz, John S. Breese, Max Henrion
1985	A	`conf`	Exact Reasoning About Uncertainty: On the Design of Expert Systems for Decision Support. UAI Samuel Holtzman, John S. Breese