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» Approximating Component Selection
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NIPS
2000
14 years 11 months ago
Automatic Choice of Dimensionality for PCA
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
Thomas P. Minka
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
CSB
2004
IEEE
106views Bioinformatics» more  CSB 2004»
15 years 1 months ago
A Theoretical Analysis of Gene Selection
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...
Sach Mukherjee, Stephen J. Roberts
DASFAA
2009
IEEE
134views Database» more  DASFAA 2009»
15 years 4 months ago
Selectivity Estimation for Exclusive Query Translation in Deep Web Data Integration
In Deep Web data integration, some Web database interfaces express exclusive predicates of the form Qe = Pi(Pi ∈ P1, P2, . . . , Pm), which permits only one predicate to be selec...
Fangjiao Jiang, Weiyi Meng, Xiaofeng Meng
CIKM
2008
Springer
15 years 2 days ago
Representative entry selection for profiling blogs
Many applications on blog search and mining often meet the challenge of handling huge volume of blog data, in which one single blog could contain hundreds or even thousands of ent...
Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong ...