11484 search results - page 225 / 2297 » Modeling in the Large and Modeling in the Small |
223
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ESOP
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
269
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AES
2011
Springer
14 years 6 months ago
2011
Springer
We propose a model for describing and predicting the parallel performance of a broad class of parallel numerical software on distributed memory architectures. The purpose of this ...
217
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OSDI
2004
ACM
16 years 6 months ago
2004
ACM
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
183
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EUROPAR
2005
Springer
16 years 2 days ago
2005
Springer
Scientists are increasingly using large distributed systems built from commodity off-the-shelf components to perform scientific computation. Grid computing has expanded the scale ...
206
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SBACPAD
2003
IEEE
15 years 11 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...