On learning algorithm selection for classification

Author:

Ali Shawkat,Smith Kate A.

Publisher

Elsevier BV

Subject

Software

Reference38 articles.

1. D.H. Wolpert, W.G. Macready, No Free Lunch theorem for search, Technical Report SFI-TR-05-010, Santa Fe Institute, Santa Fe, NM, 1995.

2. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms;Lim;Mach. Learn.,2000

3. Machine Learning, Neural and Statistical Classification;Michie,1994

4. Matching data mining algorithm suitability to data characteristics using a self-organising map;Smith,2002

5. C.E. Brodley, P.E. Utgoff, Multivariate versus univariate decision trees, Technical Report 92-8, Department of Computer Science, University of Massachusetts, Amherst, MA, 1992.

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