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» An Experimental Study on Feature Subset Selection Methods
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BMCBI
2010
146views more  BMCBI 2010»
15 years 4 months ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...
CIKM
2010
Springer
15 years 2 months ago
Fast dimension reduction for document classification based on imprecise spectrum analysis
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
Hu Guan, Bin Xiao, Jingyu Zhou, Minyi Guo, Tao Yan...
ILP
2004
Springer
15 years 9 months ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
CVPR
2008
IEEE
16 years 6 months ago
Filtering Internet image search results towards keyword based category recognition
In this work we aim to capitalize on the availability of Internet image search engines to automatically create image training sets from user provided queries. This problem is part...
Kamil Wnuk, Stefano Soatto
ICIP
2005
IEEE
16 years 6 months ago
Efficient video mosaicing based on motion analysis
Presenting more comprehensive information than key frame and any subset of frames, mosaic has attracted a growing attention in recent years as a useful element for a variety of vi...
Tao Mei, Xian-Sheng Hua, He-Qin Zhou, Shipeng Li, ...