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Computer Science

MODEL SELECTION VIA META-LEARNING: A COMPARATIVE STUDY

Kalousis Alexandros, H. Melanie

2001.12.1International Journal on Artificial Intelligence Tools

DOI: 10.1142/s0218213001000647

tlooto Summary

The selection of an appropriate inducer is crucial for performing effective classification and this work presented a system called NOEMON which relied on a mapping between dataset characteri...

Abstract

The selection of an appropriate inducer is crucial for performing effective classification. In previous work we presented a system called NOEMON which relied on a mapping between dataset characteri...

Citation format

ALEXANDROS, Kalousis; MELANIE, H. MODEL SELECTION VIA META-LEARNING: A COMPARATIVE STUDY. International Journal on Artificial Intelligence Tools, 2001, 10: 525–554.