2103 search results - page 245 / 421 » Approximate Learning of Dynamic Models |
143
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ROBIO
2006
IEEE
16 years 8 days ago
2006
IEEE
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
165
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CG
2008
Springer
15 years 8 months ago
2008
Springer
Whole-History Rating (WHR) is a new method to estimate the time-varying strengths of players involved in paired comparisons. Like many variations of the Elo rating system, the whol...
161
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JMLR
2010
15 years 1 months ago
2010
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
166
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JCNS
2010
15 years 1 months ago
2010
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
177
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IEEECIT
2009
IEEE
16 years 28 days ago
2009
IEEE
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...