Ensembles of wrappers for automated feature selection in fish age classification-Reference-Cited by-同舟云学术

Ensembles of wrappers for automated feature selection in fish age classification

Published:2017-03 Issue: Volume:134 Page:27-32
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Bermejo Sergio

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference50 articles.

1. Improved support vector machine generalization using normalized input space;Ali,2006

2. An empirical comparison of voting classification algorithms: bagging, boosting, and variants;Bauer;Mach. Learn.,1999

3. Bermejo, S., 2000. Learning with Nearest Neighbour Classifiers. Ph.D. Dissertation, Departament d’Enginyeria Electrònica, Universitat Politècnica de Catalunya.

4. Fish age categorization from otolith images using multi-class support vector machines;Bermejo;Fish. Res.,2007

5. The benefits of using otolith weight in statistical fish age classification: a case study of Atlantic cod species;Bermejo;Comput. Electron. Agric.,2014

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