187 search results - page 30 / 38 » BOAT-Optimistic Decision Tree Construction |
MMB
2012
Springer
12 years 3 months ago
2012
Springer
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
ECAI
1998
Springer
13 years 12 months ago
1998
Springer
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
IFIP12
2008
13 years 9 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
ESWA
2008
13 years 7 months ago
2008
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...