716 search results - page 119 / 144 » Optimizing Sorting with Machine Learning Algorithms |
ACCV
2009
Springer
15 years 8 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
203
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UPP
2004
Springer
15 years 7 months ago
2004
Springer
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
116
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APPROX
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. In this paper, we consider two new online optimization problems (each with several variants), present similar online algorithms for both, and show that one reduces to the...
127
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PLDI
2011
ACM
14 years 4 months ago
2011
ACM
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for reasoning about and exploiting parallelism in “regular...
132
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BMCBI
2006
15 years 1 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...