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  • Saher Esmeir, Shaul Markovitch
  • Mathematics, Computer Science
  • J. Mach. Learn. Res.
  • 2007 (First Publication: 1 May 2007)
  • The majority of existing algorithms for learning decision trees are greedy---a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, the constructed tree isExpand
  • Saher Esmeir, Shaul Markovitch
  • Computer Science
  • IJCAI
  • 2007 (First Publication: 6 January 2007)
  • Occam's razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this principle and search forExpand