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» Using PageRank in Feature Selection
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ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
14 years 3 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
JMLR
2010
151views more  JMLR 2010»
13 years 3 months ago
The Feature Selection Path in Kernel Methods
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
Fuxin Li, Cristian Sminchisescu

Publication
433views
14 years 5 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches for correspondence involve matching features between images. In this p...
Gemma Roig, Xavier Boix, Fernando De la Torre
ICML
2004
IEEE
14 years 9 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 2 months ago
Speculative Markov Blanket Discovery for Optimal Feature Selection
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Sandeep Yaramakala, Dimitris Margaritis