98 search results - page 11 / 20 » Branching on Attribute Values in Decision Tree Generation |
JSA
2006
13 years 8 months ago
2006
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
TJS
2010
13 years 6 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
EVOW
2010
Springer
14 years 3 months ago
2010
Springer
We propose a novel distance based method for phylogenetic tree reconstruction. Our method is based on a conceptual clustering method that extends the well-known decision tree learn...
IDA
2010
Springer
13 years 10 months ago
2010
Springer
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...