2681 search results - page 61 / 537 » Learning to learn with the informative vector machine |
144
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ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
136
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SEKE
2007
Springer
15 years 10 months ago
2007
Springer
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
111
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ALT
2008
Springer
16 years 1 months ago
2008
Springer
We give a bound on the expected reconstruction error for a general coding method where data in a Hilbert space are represented by finite dimensional coding vectors. The result can...
138
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EMNLP
2009
15 years 2 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...