716 search results - page 98 / 144 » Optimizing Sorting with Machine Learning Algorithms |
CIDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
122
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GLOBECOM
2009
IEEE
15 years 5 months ago
2009
IEEE
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
121
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ALT
2007
Springer
15 years 8 months ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
127
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CORR
2007
Springer
15 years 1 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
133
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...