Learning rules of a card game from video

被引：1

作者：

Hazarika, Shyamanta M. ^{[1
]}

Bhowmick, Alexy ^{[1
]}

机构：

[1] Tezpur Univ, Sch Engn, Tezpur, Assam, India

来源：

ARTIFICIAL INTELLIGENCE REVIEW | 2012年 / 38卷 / 01期

关键词：

Cognitive vision; Decision tree learning; Incremental learning;

D O I：

10.1007/s10462-011-9255-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a framework for automatically learning rules of a simple game of cards using data from a vision system observing the game being played. of object and protocol models from video, for use by an artificial , is presented. -a novel algorithm for inducing univariate decision trees for symbolic datasets is introduced. builds the decision tree in an incremental way allowing automatic learning of rules of the game.

引用

页码：55 / 65

页数：11

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