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» Bayesian learning in negotiation
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ECAI
2004
Springer
15 years 8 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
113
Voted
HICSS
2003
IEEE
110views Biometrics» more  HICSS 2003»
15 years 8 months ago
Individual and Team Contexts in a Design Process
The paper discusses the role of context in a collaborative design process, with a web-based environment for distributed architecture - engineering - construction teamwork. During ...
Patrick Brézillon
ICML
2009
IEEE
16 years 3 months ago
Near-Bayesian exploration in polynomial time
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
J. Zico Kolter, Andrew Y. Ng
ICASSP
2011
IEEE
14 years 6 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
102
Voted
ECML
2005
Springer
15 years 8 months ago
Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence
Marie desJardins, Priyang Rathod, Lise Getoor