Controlling Feature Selection in Random Forests of Decision Trees Using a Genetic Algorithm: Classification of Class I MHC Peptides

Publisher： Bentham Science Publishers

E-ISSN： 1875-5402|12|5|514-519

ISSN： 1386-2073

Source： Combinatorial Chemistry & High Throughput Screening, Vol.12, Iss.5, 2009-06, pp. : 514-519

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Efficient Gaussian process classification using random decision forests

By Fröhlich B.

Pattern Recognition and Image Analysis, Vol. 21, Iss. 2, 2011-06 ,pp. : 184-187

MAIK Nauka/Interperiodica

Access to resources Recommend Favorite

Using class-based feature selection for the classification of hyperspectral data

By Maghsoudi Yasser Valadan Zoej Mohammad Javad Collins Michael

International Journal of Remote Sensing, Vol. 32, Iss. 15, 2011-08 ,pp. : 4311-4326

Taylor & Francis Ltd

Access to resources Recommend Favorite

Feature-selection ability of the decision-tree algorithm and the impact of feature-selection/extraction on decision-tree results based on hyperspectral data

By Wang Y. Y. Li J.

International Journal of Remote Sensing, Vol. 29, Iss. 10, 2008-01 ,pp. : 2993-3010

Taylor & Francis Ltd

Access to resources Recommend Favorite

Feature selection by using the FRiS function in the task of generalized classification

By Borisova I. Zagoruiko N.

Pattern Recognition and Image Analysis, Vol. 21, Iss. 2, 2011-06 ,pp. : 117-120

MAIK Nauka/Interperiodica

Access to resources Recommend Favorite

Web page feature selection and classification using neural networks

By Selamat A. Omatu S.

Information Sciences, Vol. 158, Iss. unknown, 2004-01 ,pp. : 69-88

Elsevier

Access to resources Recommend Favorite