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111
Voted
NIPS
2003
15 years 4 months ago
2003
A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...
127
Voted
ISDA
2008
IEEE
15 years 9 months ago
2008
IEEE
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
132
Voted
FSTTCS
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
137
Voted
ICTAI
2005
IEEE
15 years 8 months ago
2005
IEEE
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
112
Voted
ICA
2010
Springer
15 years 22 days ago
2010
Springer
Abstract. In this paper, we consider the Independent Component Analysis problem when the hidden sources are non-negative (Non-negative ICA). This problem is formulated as a non-lin...