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» Sequential Update of Bayesian Network Structure
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UAI
1992
13 years 6 months ago
Exploring Localization in Bayesian Networks for Large Expert Systems
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain ma...
Yang Xiang, David Poole, Michael P. Beddoes
UAI
2000
13 years 6 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
KESAMSTA
2009
Springer
13 years 9 months ago
Structural Changes in an Email-Based Social Network
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
Krzysztof Juszczyszyn, Katarzyna Musial
JMLR
2006
153views more  JMLR 2006»
13 years 5 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
AAAI
2000
13 years 6 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier