462 search results - page 10 / 93 » Learning DNF by Decision Trees |
ECML
2004
Springer
15 years 3 months ago
2004
Springer
This paper 3 proposes a new method to qualify the result given by a decision tree when it is used as a decision aid system. When the data are numerical, we compute the distance of ...
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
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CP
2009
Springer
15 years 10 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
AUSAI
2004
Springer
15 years 3 months ago
2004
Springer
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...