7930 search results - page 551 / 1586 » Greedy in Approximation Algorithms |
238
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PAMI
2011
15 years 2 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
169
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
180
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ICC
2007
IEEE
16 years 1 months ago
2007
IEEE
— In this paper, a low-complexity high-performance detection algorithm for multiple input multiple output (MIMO) channels with severe delay spread is proposed. This algorithm per...
180
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SPIRE
2005
Springer
16 years 16 days ago
2005
Springer
We present a new algorithm for generating super condensed neighbourhoods. Super condensed neighbourhoods have recently been presented as the minimal set of words that represent a p...
169
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...