334 search results - page 18 / 67 » The Alternating Decision Tree Learning Algorithm |
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SAC
2006
ACM
15 years 3 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
SAC
2006
ACM
15 years 3 months ago
2006
ACM
We propose a method for induction of compact optimal recommendation policies based on discovery of frequent itemsets in a purchase database, followed by the application of standar...
GECCO
2009
Springer
15 years 1 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
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ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
ICDIM
2007
IEEE
15 years 4 months ago
2007
IEEE
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...