1474 search results - page 45 / 295 » Using Machine Learning to Focus Iterative Optimization |
108
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
120
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
123
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
154
Voted
PAMI
2012
13 years 4 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
124
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JMLR
2010
15 years 26 days ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...