3240 search results - page 353 / 648 » Pre-aggregation with probability distributions |
194
Voted
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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NIPS
2003
15 years 8 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
157
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
Abstract-- Fountain codes are designed so that all input symbols can be recovered from a slightly larger number of coded symbols, with high probability using an iterative decoder. ...
191
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SIGMETRICS
2010
ACM
15 years 5 months ago
2010
ACM
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
325
Voted
TSP
2010
15 years 1 months ago
2010
Abstract--With increasing spatial reuse of radio spectrum, cochannel interference is becoming a dominant noise source and may severely degrade the communication performance of wire...