604 search results - page 5 / 121 » Regularization and feature selection for networked features |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
107
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
144
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IWANN
2011
Springer
14 years 10 days ago
2011
Springer
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
MLDM
2009
Springer
15 years 2 months ago
2009
Springer
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...