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ECAI
2010
Springer
14 years 9 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
46
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ICPR
2008
IEEE
15 years 6 months ago
Bag-of-features kernel eigen spaces for classification
Gaurav Sharma, Santanu Chaudhury, J. B. Srivastava
ISNN
2007
Springer
15 years 6 months ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
IPPS
2006
IEEE
15 years 5 months ago
iWarp protocol kernel space software implementation
Zero-copy, RDMA, and protocol offload are three very important characteristics of high performance interconnects. Previous networks that made use of these techniques were built u...
Dennis Dalessandro, Ananth Devulapalli, Pete Wycko...