3051 search results - page 286 / 611 » Learning Internal Representations |
169
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ICANN
2011
Springer
14 years 8 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
151
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CORR
2012
Springer
14 years 10 days ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
145
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BMCBI
2004
15 years 4 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
172
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TNN
2011
14 years 11 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
120
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...