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» Feature selection with neural networks
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SBRN
2006
IEEE
14 years 3 months ago
Multiclass SVM Design and Parameter Selection with Genetic Algorithms
Ana Carolina Lorena, André Carlos Ponce Leo...
INTERSPEECH
2010
13 years 4 months ago
Dialog prediction for a general model of turn-taking
Today there are solutions for some specific turn-taking problems, but no general model. We show how turn-taking can be reduced to two more general problems, prediction and selecti...
Nigel G. Ward, Olac Fuentes, Alejandro Vega
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 3 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
IJCNN
2008
IEEE
14 years 4 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
CEC
2008
IEEE
14 years 4 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...