3256 search results - page 164 / 652 » Learning Linear Transformations |
139
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NN
2010
Springer
14 years 9 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
119
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
140
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AAAI
1996
15 years 3 months ago
1996
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
111
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
A learning problem might have several measures of complexity (e.g., norm and dimensionality) that affect the generalization error. What is the interaction between these complexiti...
128
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JMIV
1998
15 years 1 months ago
1998
In the past decades linear scale-space theory was derived on the basis of various axiomatics. In this paper we revisit these axioms and show that they merely coincide with the foll...