most citedEmpirical Analysis of Predictive Algorithms for Collaborative Filtering

4.5k citations · 5.3k across the 12 of their papers we have counts for

collaborators

12 papers

cs.AI2013

Exact Reasoning Under Uncertainty

Samuel Holtzman, John S. Breese

This paper focuses on designing expert systems to support decision making in complex, uncertain environments. In this context, our research indicates that strictly probabilistic re…

cs.AI20132 cited

Integrating Logical and Probabilistic Reasoning for Decision Making

John S. Breese, Edison Tse

We describe a representation and a set of inference methods that combine logic programming techniques with probabilistic network representations for uncertainty (influence diagrams…

cs.AI20135 cited

Decision-Theoretic Control of Problem Solving: Principles and Architecture

John S. Breese, Michael R. Fehling

This paper presents an approach to the design of autonomous, real-time systems operating in uncertain environments. We address issues of problem solving and reflective control of r…

cs.AI201310 cited

The Compilation of Decision Models

David Heckerman, John S. Breese, Eric J. Horvitz

We introduce and analyze the problem of the compilation of decision models from a decision-theoretic perspective. The techniques described allow us to evaluate various configuratio…

cs.AI2013

Interval Influence Diagrams

Kenneth W. Fertig, John S. Breese

We describe a mechanism for performing probabilistic reasoning in influence diagrams using interval rather than point valued probabilities. We derive the procedures for node remova…

cs.AI201321 cited

IDEAL: A Software Package for Analysis of Influence Diagrams

Sampath Srinivas, John S. Breese

IDEAL (Influence Diagram Evaluation and Analysis in Lisp) is a software environment for creation and evaluation of belief networks and influence diagrams. IDEAL is primarily a rese…