1403 search results - page 157 / 281 » Set cover algorithms for very large datasets |
181
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
172
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EDBT
2006
ACM
16 years 6 months ago
2006
ACM
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
202
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ISMB
2000
15 years 7 months ago
2000
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
152
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DCC
2003
IEEE
16 years 5 months ago
2003
IEEE
Practical applications that employ entropy coding for large alphabets often partition the alphabet set into two or more layers and encode each symbol by using some suitable prefix...
257
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...