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119
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ICML
1996
IEEE
16 years 3 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
127
Voted
ICPR
2006
IEEE
16 years 3 months ago
On Kernel Selection in Relevance Vector Machines Using Stability Principle
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dm...
99
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
154
Voted
ML
2000
ACM
154views Machine Learning» more  ML 2000»
15 years 2 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb