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IJCAI
1989
14 years 10 months ago
1989
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
78
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KDD
2002
ACM
15 years 10 months ago
2002
ACM
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. In some learning settings, the cost of acquiring features for classification must be paid up front, before the classifier is evaluated. In this paper, we introduce the fo...
106
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RIVF
2008
14 years 11 months ago
2008
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...