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A decision method for object identification in robotics

Malik Ghallab, Georges Giralt

Year
1978
Citations
3

Abstract

In this paper we propose a method for generating a deterministic classification tree in the Sequential Pattern Recognition problem. At first, features are partitioned and structured in a set of decision rules. Then this set is translated in an optimal decision tree which satisfies a constraint on the maximum probability of misclassification.

Keywords

Decision treeComputer scienceArtificial intelligenceConstraint (computer-aided design)Identification (biology)Object (grammar)Set (abstract data type)Machine learningRoboticsTree (set theory)

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