Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting-Reference-Cited by-同舟云学术

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Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting

Published:2013-02 Issue: Volume:40 Page:245-254
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Fernandes Jose A.,Lozano Jose A.,Inza Iñaki,Irigoien Xabier,Pérez Aritz,Rodríguez Juan D.

Funder

Fundación Centros Tecnológicos Iñaki Goenaga

Etortek, Saiotek and Research Groups 2007–2012

Basque Government

Spanish Ministry of Education and Science

COMBIOMED network

ECOANCHOA

Department of Agriculture, Fisheries and Food of the Basque Country Government

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference85 articles.

1. Bayesian networks in environmental modelling;Aguilera;Environ. Model. Softw.,2011

2. Hybrid Bayesian network classifiers: application to species distribution models;Aguilera;Environ. Model. Softw.,2010

3. On learning algorithm selection for classification;Ali;Appl. Soft. Comput.,2006

4. The potential use of a gadget model to predict stock responses to climate change in combination with Bayesian networks: the case of bay of biscay anchovy;Andonegi;ICES J. Mar. Sci.,2011

5. Obligations to protect marine ecosystems under international conventions and other legal instruments;Aqorau,2003

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