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» Model Selection: Beyond the Bayesian Frequentist Divide
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FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
13 years 9 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho
IJAR
2010
130views more  IJAR 2010»
13 years 3 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
13 years 11 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
GLOBECOM
2007
IEEE
13 years 11 months ago
An Analytical Model for a Book-Ahead Bandwidth Scheduler
— Optical networks with book-ahead bandwidth schedulers are being deployed to meet the high-speed and predictable-service networking requirements of applications in the scienti...
Xiangfei Zhu, Mark E. McGinley, Tao Li, Malathi Ve...
ICC
2008
IEEE
13 years 11 months ago
Evolution of Base Stations in Cellular Networks: Denser Deployment versus Coordination
Abstract— It has been demonstrated that base station cooperation can reduce co-channel interference (CCI) and increase cellular system capacity. In this work we consider another ...
Yifan Liang, Andrea J. Goldsmith, Gerard J. Foschi...