Sciweavers

UAI
2001
13 years 6 months ago
Aggregating Learned Probabilistic Beliefs
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Pedrito Maynard-Reid II, Urszula Chajewska
UAI
2001
13 years 6 months ago
A Bayesian Multiresolution Independence Test for Continuous Variables
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
Dimitris Margaritis, Sebastian Thrun
UAI
2001
13 years 6 months ago
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation
In this paper we present three different architectures for the evaluation of influence diagrams: HUGIN, Shafer-Shenoy (S-S), and Lazy Propagation (LP). HUGIN and LP are two new ar...
Anders L. Madsen, Dennis Nilsson
UAI
2001
13 years 6 months ago
Exact Inference in Networks with Discrete Children of Continuous Parents
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
Uri Lerner, Eran Segal, Daphne Koller
UAI
2001
13 years 6 months ago
Hypothesis Management in Situation-Specific Network Construction
This paper considers the problem of knowledgebased model construction in the presence of uncertainty about the association of domain entities to random variables. Multi-entity Bay...
Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright
UAI
2001
13 years 6 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
UAI
2001
13 years 6 months ago
A Bayesian Approach to Tackling Hard Computational Problems
Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry...
UAI
2001
13 years 6 months ago
Classifier Learning with Supervised Marginal Likelihood
Petri Kontkanen, Petri Myllymäki, Henry Tirri
UAI
2001
13 years 6 months ago
Improved learning of Bayesian networks
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Baye...
Tomás Kocka, Robert Castelo
UAI
2001
13 years 6 months ago
Graphical Models for Game Theory
We introduce a compact graph-theoretic representation for multi-party game theory. Our main result is a provably correct and efficient algorithm for computing approximate Nash equ...
Michael J. Kearns, Michael L. Littman, Satinder P....