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RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
14 years 1 months ago
Anytime Algorithm for Feature Selection
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
ICML
2000
IEEE
14 years 11 months ago
Algorithm Selection using Reinforcement Learning
Michail G. Lagoudakis, Michael L. Littman
IPPS
1996
IEEE
14 years 2 months ago
Practical Algorithms for Selection on Coarse-Grained Parallel Computers
In this paper, we consider the problem of selection on coarse-grained distributed memory parallel computers. We discuss several deterministic and randomized algorithms for paralle...
Ibraheem Al-Furaih, Srinivas Aluru, Sanjay Goil, S...
ICTAI
1993
IEEE
14 years 2 months ago
Robust Feature Selection Algorithms
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
Haleh Vafaie, Kenneth DeJong
GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
14 years 1 months ago
Applicability issues of the real-valued negative selection algorithms
The paper examines various applicability issues of the negative selection algorithms (NSA). Recently, concerns were raised on the use of NSAs, especially those using real-valued r...
Zhou Ji, Dipankar Dasgupta