About: Generation of Decision Trees using Reinforcement Learning     Goto   Sponge   NotDistinct   Permalink

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  • Není k dispozici (cs)
  • We propose a new methodology for generation of regression trees that uses some of the concepts of reinforcement learning. Main motivation of our effort is increasing the ability of algorithm to deal with enormous amounts of data and with time-evolving concept exhibited by the data. In this paper we present basic algorithm that will be in future extended to analogical task of decision trees generation.
  • We propose a new methodology for generation of regression trees that uses some of the concepts of reinforcement learning. Main motivation of our effort is increasing the ability of algorithm to deal with enormous amounts of data and with time-evolving concept exhibited by the data. In this paper we present basic algorithm that will be in future extended to analogical task of decision trees generation. (en)
Title
  • Není k dispozici (cs)
  • Generation of Decision Trees using Reinforcement Learning
  • Generation of Decision Trees using Reinforcement Learning (en)
skos:prefLabel
  • Není k dispozici (cs)
  • Generation of Decision Trees using Reinforcement Learning
  • Generation of Decision Trees using Reinforcement Learning (en)
skos:notation
  • RIV/68407700:21230/04:03096683!RIV/2005/MSM/212305/N
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  • 565290
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  • RIV/68407700:21230/04:03096683
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  • Decision trees; Reinforcement learning (en)
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  • [B1860E9FB943]
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  • Lhotská, Lenka
  • Macek, Jan
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  • 80-01-02945-X
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  • 21230
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