10594 search results - page 292 / 2119 » Learning classifier systems |
119
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ALT
2005
Springer
16 years 21 days ago
2005
Springer
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
138
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
117
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ECML
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
147
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ACCV
2009
Springer
15 years 7 months ago
2009
Springer
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
163
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CORR
2011
Springer
14 years 10 months ago
2011
Springer
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...