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SLSFS
2005
Springer
13 years 10 months ago
Overview and Recent Advances in Partial Least Squares
Roman Rosipal, Nicole Krämer
SLSFS
2005
Springer
13 years 10 months ago
Is Feature Selection Still Necessary?
Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naft...
SLSFS
2005
Springer
13 years 10 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum
SLSFS
2005
Springer
13 years 10 months ago
Discrete Component Analysis
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
Wray L. Buntine, Aleks Jakulin
SLSFS
2005
Springer
13 years 10 months ago
Generalization Bounds for Subspace Selection and Hyperbolic PCA
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
Andreas Maurer