4428 search results - page 521 / 886 » The Chow Parameters Problem |
207
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BMEI
2009
IEEE
15 years 7 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
202
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EUROPAR
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. As heterogeneous computing platforms become more prevalent, the programmer must account for complex memory hierarchies in addition to the difficulties of parallel program...
193
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DICTA
2009
15 years 7 months ago
2009
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
150
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
172
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...