Bagging different instead of similar models for regression and classification problems

Author： Kotsiantis Sotiris B.   Kanellopoulos Dimitris N.  

Publisher： Inderscience Publishers

ISSN： 0952-8091

Source： International Journal of Computer Applications in Technology, Vol.37, Iss.1, 2009-12, pp. : 20-28

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

Detecting Ambiguities in Regression Problems using TSK Models

By Nandi Arup   Klawonn Frank  

Soft Computing, Vol. 11, Iss. 5, 2007-03 ,pp. : 467-478

Springer Publishing Company

Access to resources Recommend Favorite

An Empirical Comparison of Voting Classification Algorithms:Bagging, Boosting, and Variants

By Bauer E.  

Machine Learning, Vol. 36, Iss. 1-2, 1999-07 ,pp. : 105-139

Springer Publishing Company

Access to resources Recommend Favorite

The sparse signomial classification and regression model

By Lee Kyungsik   Kim Norman   Jeong Myong  

Annals of Operations Research, Vol. 216, Iss. 1, 2014-05 ,pp. : 257-286

Springer Publishing Company

Access to resources Recommend Favorite

Bagging Predictors

By Breiman L.  

Machine Learning, Vol. 24, Iss. 2, 1996-08 ,pp. : 123-140

Springer Publishing Company

Access to resources Recommend Favorite

Models for concurrency: towards a classification

By Sassone V.   Nielsen M.   Winskel G.  

Theoretical Computer Science, Vol. 170, Iss. 1, 1996-12 ,pp. : 297-348

Elsevier

Access to resources Recommend Favorite