4544 search results - page 476 / 909 » Reinforcement Learning with Time |
212
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ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
202
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CORR
2008
Springer
15 years 7 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
202
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ETS
2006
IEEE
15 years 7 months ago
2006
IEEE
Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long ...
197
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IJLT
2008
15 years 7 months ago
2008
: To enhance users' social embedding within learning networks, we propose to establish ad hoc transient communities. These communities serve a particular goal, exist for a lim...
244
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JMLR
2006
15 years 7 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...