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CI
2005
106views more  CI 2005»
14 years 11 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
JMLR
2002
144views more  JMLR 2002»
14 years 11 months ago
Round Robin Classification
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
Johannes Fürnkranz
ML
2002
ACM
121views Machine Learning» more  ML 2002»
14 years 11 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
ASPDAC
2004
ACM
79views Hardware» more  ASPDAC 2004»
15 years 5 months ago
Enhancing the performance of multi-cycle path analysis in an industrial setting
Abstract— In this paper we enhance the performance of multicycle path analysis in an industrial setting. Industrial designs are, in general, more complicated, but contain more in...
Hiroyuki Higuchi, Yusuke Matsunaga
IJCAI
2007
15 years 1 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling