Recycling decision trees in numeric domains

Research output: Contribution to journalArticle

Abstract

A decision tree's classification performance can drop if the tree is used in a changed context such as different accent in speach recognition. This brittleness can partially be rectified by the use of a cheap second tier implemented as a linear classifier. The transfer of the tree to a novel context is accomplished by re-inducing the second tier, without the need to re-induce the more expensive first tier. Experiments reported in this paper indicate that quick adaptation to the target context can indeed be achieved.

Original languageEnglish
Pages (from-to)195-204
Number of pages10
JournalInformatica (Ljubljana)
Volume24
Issue number2
StatePublished - Jun 1 2000
Externally publishedYes

Fingerprint

Recycling
Brittleness
Decision trees
Numerics
Decision tree
Classifiers
Experiments
Classifier
Target
Experiment
Context

ASJC Scopus subject areas

  • Software

Cite this

Recycling decision trees in numeric domains. / Kubat, Miroslav.

In: Informatica (Ljubljana), Vol. 24, No. 2, 01.06.2000, p. 195-204.

Research output: Contribution to journalArticle

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