2252 search results - page 37 / 451 » A distributed machine learning framework |
141
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ICDE
2012
IEEE
13 years 2 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
COLT
2007
Springer
15 years 6 months ago
2007
Springer
We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the lite...
131
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ESOP
2011
Springer
14 years 3 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...
268
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BICA
2010
14 years 6 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
ICML
2008
IEEE
16 years 18 days ago
2008
IEEE
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...