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107
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ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
14 years 10 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
ICASSP
2011
IEEE
14 years 4 months ago
The transformed Variational Bayes approximation
The purpose of this paper is to develop parameter transformation strategies that improve the accuracy of the Variational Bayes (VB) approximation. The idea is to find a transform...
Viet Hung Tran, Anthony Quinn
103
Voted
IJCNLP
2004
Springer
15 years 6 months ago
A Collaborative Ability Measurement for Co-training
This paper explores collaborative ability of co-training algorithm. We propose a new measurement (CA) for representing the collaborative ability of co-training classifiers based o...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
93
Voted
TFS
2010
117views Education» more  TFS 2010»
14 years 7 months ago
Variational Bayes for a Mixed Stochastic/Deterministic Fuzzy Filter
Abstract--This study, under the variational Bayes (VB) framework, infers the parameters of a Takagi
Mohit Kumar, Norbert Stoll, Regina Stoll
90
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UAI
2004
15 years 2 months ago
An Empirical Evaluation of Possible Variations of Lazy Propagation
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
Andres Madsen