21 citations · 56 across the 5 of their papers we have counts for
5 papers
Directed Reduction Algorithms and Decomposable Graphs
Ross D. Shachter, Stig K. Andersen, Kim-Leng Poh
In recent years, there have been intense research efforts to develop efficient methods for probabilistic inference in probabilistic influence diagrams or belief networks. Many peop…
Reasoning about the Value of Decision-Model Refinement: Methods and Application
Kim-Leng Poh, Eric J. Horvitz
We investigate the value of extending the completeness of a decision model along different dimensions of refinement. Specifically, we analyze the expected value of quantitative, co…
Probabilistic Conceptual Network: A Belief Representation Scheme for Utility-Based Categorization
Kim-Leng Poh, Michael R. Fehling
Probabilistic conceptual network is a knowledge representation scheme designed for reasoning about concepts and categorical abstractions in utility-based categorization. The scheme…
A Graph-Theoretic Analysis of Information Value
Kim-Leng Poh, Eric J. Horvitz
We derive qualitative relationships about the informational relevance of variables in graphical decision models based on a consideration of the topology of the models. Specifically…
Time-Critical Dynamic Decision Making
Yanping Xiang, Kim-Leng Poh
Recent interests in dynamic decision modeling have led to the development of several representation and inference methods. These methods however, have limited application under tim…