462 search results - page 39 / 93 » Learning DNF by Decision Trees |
ACL
2001
14 years 11 months ago
2001
There has been much interest in the recent past concerning the possibilities for automated categorization of named entities. The research presented here describes a method for the...
110
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ML
2000
ACM
14 years 9 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
102
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
110
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MMB
2012
Springer
13 years 5 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...