Paper Title:
A New Method of Machine Learning Based on Examples
  Abstract

A new method of machine learning based on examples is given in this paper. This method improves the classical method ID3 which learns from static examples. Its limits lie on no comprehension and no memory, and no dynamic correlation. In the new method, it can learn from dynamic examples, the change of data can be learned because the training data is the initial and end process in the interval. All varieties and correlation can be understood and remembered. By experiments, the method can be used as classifier and it has special use in the field of information mining.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1078-1081
DOI
10.4028/www.scientific.net/AMR.204-210.1078
Citation
D. G. Zhang, D. Wang, Y. X. Hu, X. J. Kang, "A New Method of Machine Learning Based on Examples", Advanced Materials Research, Vols. 204-210, pp. 1078-1081, 2011
Online since
February 2011
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Price
$32.00
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