Reduction Techniques for Instance-Based Learning Algorithms

Author： Wilson D.R.  

Publisher： Springer Publishing Company

ISSN： 0885-6125

Source： Machine Learning, Vol.38, Iss.3, 2000-03, pp. : 257-286

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

Instance-Based Learning Algorithms

By Aha D.W.  

Machine Learning, Vol. 06, Iss. 1, 1991-01 ,pp. : 37-66

Springer Publishing Company

Access to resources Recommend Favorite

Effects of domain characteristics on instance-based learning algorithms

By Okamoto S.   Yugami N.  

Theoretical Computer Science, Vol. 298, Iss. 1, 2003-04 ,pp. : 207-233

Elsevier

Access to resources Recommend Favorite

Natural Neighbor Reduction Algorithm for Instance-based Learning

By  

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), Vol. 10, Iss. 4, 2016-10 ,pp. : 59-73

IGI Global_journal

Access to resources Recommend Favorite

Noise reduction for instance-based learning with a local maximal margin approach

By Segata Nicola   Blanzieri Enrico   Delany Sarah   Cunningham Pádraig  

Journal of Intelligent Information Systems, Vol. 35, Iss. 2, 2010-10 ,pp. : 301-331

Springer Publishing Company

Access to resources Recommend Favorite

Extracting Web Data Using Instance-Based Learning

By Zhai Yanhong  

World Wide Web, Vol. 10, Iss. 2, 2007-06 ,pp. : 113-132

Springer Publishing Company

Access to resources Recommend Favorite