795 search results - page 31 / 159 » Feature Selection for Inductive Generalization |
ILP
2004
Springer
14 years 1 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
SEBD
2008
13 years 9 months ago
2008
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
CSREASAM
2003
13 years 9 months ago
2003
Automated rule induction procedures like machine learning and statistical techniques result in rules that lack generalization and maintainability. Developing rules manually throug...
AAAI
2000
13 years 9 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...