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» Approximating Component Selection
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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 8 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
SIGIR
2003
ACM
15 years 8 months ago
The Effect of Database Size Distribution on Resource Selection Algorithms
Resource selection is an important topic in distributed information retrieval research. It can be a component of a distributed information retrieval task and can also serve as an i...
Luo Si, Jamie Callan
INFOCOM
2000
IEEE
15 years 7 months ago
An Empirical Evaluation of Client-Side Server Selection Algorithms
—Efficient server selection algorithms reduce retrieval time for objects replicated on different servers and are an important component of Internet cache architectures. This pap...
Sandra G. Dykes, Kay A. Robbins, Clinton L. Jeffer...
CIKM
2009
Springer
15 years 6 months ago
Learning from past queries for resource selection
Federated text search provides a unified search interface for multiple search engines of distributed text information sources. Resource selection is an important component for fed...
Suleyman Cetintas, Luo Si, Hao Yuan
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
15 years 1 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...