Generation of Decision Trees using Reinforcement Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096683" target="_blank" >RIV/68407700:21230/04:03096683 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Generation of Decision Trees using Reinforcement Learning
Original language description
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.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
A - Audiovisual production
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
ISBN
80-01-02945-X
Place of publication
Praha
Publisher/client name
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Version
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Carrier ID
neuvedeno