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ICFCA
2010
Springer
16 years 1 months ago
Approaches to the Selection of Relevant Concepts in the Case of Noisy Data
Concept lattices built on noisy data tend to be large and hence hard to interpret. We introduce several measures that can be used in selecting relevant concepts and discuss how the...
Mikhail Klimushkin, Sergei A. Obiedkov, Camille Ro...
CG
2000
Springer
15 years 11 months ago
A Least-Certainty Heuristic for Selective Search
: We present a new algorithm for selective search by iterative expansion of leaf nodes. The algorithm reasons with leaf evaluations in a way that leads to high confidence in the c...
Paul E. Utgoff, Richard P. Cochran
DICTA
2003
15 years 8 months ago
Model Selection Criteria in Computer Vision: Are They Different?
 This paper presents an extensive survey of  model selection techniques for  computer vision applications. A large number of existing model selection criteria...
Niloofar Gheissari, Alireza Bab-Hadiashar
CSDA
2006
97views more  CSDA 2006»
15 years 6 months ago
Bandwidth selection for a class of difference-based variance estimators in the nonparametric regression: A possible approach
A possible approach to bandwidth selection for difference-based variance estimators in the nonparametric regression is proposed. The approach is based on the crossvalidation-type ...
M. Levine
TWC
2008
133views more  TWC 2008»
15 years 6 months ago
Beam Selection Strategies for Orthogonal Random Beamforming in Sparse Networks
Abstract--Orthogonal random beamforming (ORB) constitutes a mean to exploit spatial multiplexing and multi-user diversity (MUD) gains in multi-antenna broadcast channels. To do so,...
José López Vicario, Roberto Bosisio,...