2103 search results - page 32 / 421 » Approximate Learning of Dynamic Models |
111
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SODA
2001
ACM
15 years 3 months ago
2001
ACM
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
109
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GLOBECOM
2007
IEEE
15 years 8 months ago
2007
IEEE
— In this paper, we propose an analytical model to capture the dynamics of the RED algorithm. We first develop a system of recursive equations that describes the packet dropping...
117
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
JUCS
2008
15 years 1 months ago
2008
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
109
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...