3624 search results - page 373 / 725 » Learning to learn: From smart machines to intelligent machin... |
174
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HIS
2008
15 years 8 months ago
2008
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
186
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NIPS
2004
15 years 8 months ago
2004
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
204
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
183
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Structural alignments are the most widely used tools for comparing proteins with low sequence similarity. The main contribution of this paper is to derive various kernels on prote...
207
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...