2252 search results - page 121 / 451 » A distributed machine learning framework |
152
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SIGIR
2004
ACM
15 years 8 months ago
2004
ACM
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
151
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
140
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JMLR
2010
14 years 9 months ago
2010
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
120
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
127
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ECTEL
2007
Springer
15 years 9 months ago
2007
Springer
This paper presents a dissertation project on business-integrated, service-oriented learning architectures. The isolation of corporate learning management from core business functi...