For a fixed sample size, a common phenomenon is that the error of a designed classifier decreases and then increases as the number of features grows. This peaking phenomenon has been recognized for forty years and depends on the classification rule and feature-label distribution. Historically, the p
β¦ LIBER β¦
The role of eigenvalues in linear feature selection theory
β Scribed by D.R. Brown; M.J. O'Malley
- Publisher
- Elsevier Science
- Year
- 1977
- Tongue
- English
- Weight
- 523 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0377-0427
No coin nor oath required. For personal study only.
β¦ Synopsis
A family of examples is constructed to show that if B is the k x n matrix (IklZ)U, where U is an n x n orthogonal matrix, then the eigenvalues of U do not affect the value of divergence D B in the space of reduced dimension.
π SIMILAR VOLUMES
The peaking phenomenon in the presence o
β
Chao Sima; Edward R. Dougherty
π
Article
π
2008
π
Elsevier Science
π
English
β 332 KB
Application of quasi-linearization to an
β
Paul A Libby; Karl K Chen
π
Article
π
1968
π
Elsevier Science
π
English
β 361 KB
Uniqueness theorem, theorem of reciproci
β
A. K. Vashishth; V. Gupta
π
Article
π
2011
π
Springer
π
English
β 200 KB
The role of eigenvalues and eigenvectors
β
JiΕΔ±Μ Neustupa; Patrick Penel
π
Article
π
2003
π
Elsevier Science
π
English
β 116 KB
Application of eigenvalue sensitivity th
β
R.S. Sharp; P.C. Brooks
π
Article
π
1987
π
Elsevier Science
π
English
β 710 KB
The utility of eigenvalue sensitivity theory in the context of the design of linear dynamic systems with constant coefficients is illustrated by a discussion of a particular problem, treated with the aid of a computer software package described in a companion paper. The problem concerns the straight
The role of habitat selection in landsca
β
Douglas W. Morris; Joel S. Brown
π
Article
π
1992
π
Springer Netherlands
π
English
β 219 KB