2252 search results - page 168 / 451 » A distributed machine learning framework |
116
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ECML
2005
Springer
15 years 8 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
125
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NIPS
2008
15 years 4 months ago
2008
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
131
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
148
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ML
2012
ACM
13 years 10 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
129
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HICSS
2003
IEEE
15 years 8 months ago
2003
IEEE
This paper compares popular client and server architectures used for groupware. It presents a client framework and evaluates native, installed clients, Java-based applications, an...