3378 search results - page 141 / 676 » Learning in Friedberg Numberings |
170
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IDEAL
2003
Springer
15 years 11 months ago
2003
Springer
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
136
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ISMDA
2001
Springer
15 years 11 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
204
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ACML
2009
Springer
15 years 10 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
158
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GFKL
2007
Springer
15 years 10 months ago
2007
Springer
Experimental assessment of the performance of classification algorithms is an important aspect of their development and application on real-world problems. To facilitate this analy...
176
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AAAI
2007
15 years 8 months ago
2007
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...