2712 search results - page 112 / 543 » On learning algorithm selection for classification |
112
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ICTAI
2010
IEEE
15 years 5 days ago
2010
IEEE
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
125
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NN
2008
Springer
15 years 2 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
145
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
119
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ICIAP
1999
ACM
15 years 6 months ago
1999
ACM
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
147
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TSP
2010
14 years 9 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...