New Generation Computing

Special Issue Call for Papers

New Generation Computing welcomes contributions for a special issue:

Hybrid and Ensemble Methods in Machine Learning

Guest Editors:

Oscar Cordón, European Centre for Soft Computing, Spain
Przemysław Kazienko, Wroclaw University of Technology, Poland
Bogdan Trawiński, Wroclaw University of Technology, Poland

OBJECTIVES AND TOPICS

Hybrid and ensemble methods in machine learning have gained a great attention of scientific community over the last several years. Multiple learning models have been theoretically and empirically shown to provide significantly better performance than their single base models. Ensemble algorithms and hybrid methods of reasoning have found their application in various real word problems ranging from person recognition through medical diagnosis and text classification to financial forecasting. The Special Issue of New Generation Computing (the journal indexed by ISI, SCI, DBLP, Scopus, Inspec) is devoted to both hybrid and ensemble methods and their application to classification, prediction, and clustering problems. After the success of MMAML 2010, the Special Session on Multiple Model Approach to Machine Learning at The 2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS 2010) with 13 regular papers and 5 posters accepted and presented at the conference, selected out of 35 submissions, representing 15 countries, we want to offer another opportunity for researchers and practitioners to extend their work and publish recent advances in this area. The scope of the special issue includes the following topics (the same list as for MMAML 2010):

• Theoretical framework for ensemble methods
• Ensemble learning algorithms: bagging, boosting, stacking, etc.
• Ensemble methods in clustering
• Dealing with large volumes of data and lack of adequate data
• Model and feature selection in multiple model machine learning
• Hybrid ensembles
• Hybrid methods in prediction and classification
• Time factor in ensemble models
• Multi-objective ensemble models
• Ensemble methods in agent and multi-agent systems
• Newest methods for generating ensembles
• Implementations of ensemble learning algorithms
• Assessment and statistical analysis of ensemble models
• Applications of ensemble methods in business, engineering, medicine, etc.

IMPORTANT DATES

Expression of interest, submission of the tentative title via EasyChair: May 8, 2010

Submission of the paper for revision via EasyChair: June 15, 2010

Notification of paper acceptance: October 15, 2010

Revised version submission deadline: November 15, 2010

Camera-ready copies of accepted papers due: December 31, 2010

Publication (preliminary): Vol. 29, No. 3 (around August 2011)

SUBMISSION

The submission of the paper for the revision should be send in the electronic version (PDF) via EasyChair available at http://www.easychair.org/conferences/?conf=ngchemml2010. To be fully considered for publication, papers must be received by the due date and meet the following requirements. Papers must be written in English and the final version should be about 15 pages long (incl. figures and tables), ca. 450 words/page. The electronic data of the final version of papers must be prepared in LaTeX in the NGC style (please see Instruction to Authors at http://www.ohmsha.co.jp/ngc/).

All papers submitted will be reviewed by the independent IPC members. Only papers accepted and presented at MMAML 2010 have been invited for the special issue. However, please note that this invitation does not mean your paper will be automatically accepted for publication.

INTERNATIONAL PROGRAM COMMITTEE

• Jesús Alcalá-Fdez, University of Granada, Spain
• Oscar Castillo, Tijuana Institute of Technology, Mexico
• Oscar Cordón, European Centre for Soft Computing, Spain
• José Alfredo F. Costa, Federal University (UFRN), Brazil
• Patrick Gallinari, Pierre et Marie Curie University, France
• Tzung-Pei Hong, National University of Kaohsiung, Taiwan
• Hisao Ishibuchi, Osaka Prefecture University, Japan
• Nikola Kasabov, Auckland University of Technology, New Zeland
• Przemysław Kazienko, Wrocław University of Technology, Poland
• Mark Last, Ben-Gurion University of the Negev, Israel
• Kun Chang Lee, Sungkyunkwan University, Korea
• Kyoung Jun Lee, Kyung Hee University, Korea
• Ke Tang, University of Science and Technology of China, China
• Bogdan Trawiński, Wrocław University of Technology, Poland
• Pandian Vasant, University Technology Petronas, Malaysia
• Michał Wozniak, Wrocław University of Technology, Poland
• Zhongwei Zhang, University of Southern Queensland, Australia

Guest Editors,

Oscar Cordón, European Centre for Soft Computing, Spain
Przemysław Kazienko, Wroclaw University of Technology, Poland
Bogdan Trawiński, Wroclaw University of Technology, Poland