1704 search results - page 62 / 341 » Learning nonlinear dynamic models |
92
Voted
AIPS
2006
15 years 2 months ago
2006
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
103
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ICRA
2008
IEEE
15 years 7 months ago
2008
IEEE
— Legged robots represent great promise for transport in unstructured environments. However, it has been difficult to devise motion planning strategies that achieve a combinatio...
126
Voted
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
110
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ICMLA
2009
14 years 10 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
114
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ICML
2004
IEEE
15 years 6 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...