Generation of Regression Trees using Reinforcement Learning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A00087721" target="_blank" >RIV/68407700:21230/03:00087721 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Generation of Regression 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

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Poster 2003

ISBN

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ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

ČVUT, Fakulta elektrotechnická

Place of publication

Praha

Event location

Prague

Event date

May 22, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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