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SLSFS
2005
Springer
14 years 2 months ago
Overview and Recent Advances in Partial Least Squares
Roman Rosipal, Nicole Krämer
SLSFS
2005
Springer
14 years 2 months ago
Is Feature Selection Still Necessary?
Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naft...
SLSFS
2005
Springer
14 years 2 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
14 years 2 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
14 years 2 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