2252 search results - page 66 / 451 » A distributed machine learning framework |
IEEEPACT
2008
IEEE
15 years 6 months ago
2008
IEEE
Achieving good performance on a modern machine with a multi-level memory hierarchy, and in particular on a machine with software-managed memories, requires precise tuning of progr...
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"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
OAS
2003
15 years 1 months ago
2003
In this paper, we describe our work-in-progress with collaborative understanding of distributed ontologies in a multiagent framework. As reported earlier, the objective of this fr...
COLT
1992
Springer
15 years 4 months ago
1992
Springer
We consider PAC-learning where the distribution is known to the student. The problem addressed here is characterizing when learnability with respect to distribution D1 implies lea...
COLT
2007
Springer
15 years 6 months ago
2007
Springer
We consider on-line density estimation with the multivariate Gaussian distribution. In each of a sequence of trials, the learner must posit a mean µ and covariance Σ; the learner...