7930 search results - page 587 / 1586 » Greedy in Approximation Algorithms |
204
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ICONIP
2007
15 years 8 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
177
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IJSNET
2008
15 years 7 months ago
2008
: Suppose we need to watch a set of targets continuously for a required period of time, and suppose we choose any number of sensors from a fixed set of sensor types and place them ...
176
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IPPS
2006
IEEE
16 years 1 months ago
2006
IEEE
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...
226
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FOIKS
2004
Springer
16 years 17 days ago
2004
Springer
Abstract. We give a general framework for approximate query processing in semistructured databases. We focus on regular path queries, which are the integral part of most of the que...
157
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CORR
2008
Springer
15 years 7 months ago
2008
Springer
In many important problems, one uses the median instead of the mean to estimate a population's center, since the former is more robust. But in general, computing the median i...