2252 search results - page 9 / 451 » A distributed machine learning framework |
122
Voted
ESANN
2007
15 years 1 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
101
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MICRO
2008
IEEE
15 years 6 months ago
2008
IEEE
—Efficient sharing of system resources is critical to obtaining high utilization and enforcing system-level performance objectives on chip multiprocessors (CMPs). Although sever...
CVPR
2010
IEEE
14 years 12 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
103
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ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
105
Voted
ICML
2008
IEEE
16 years 14 days ago
2008
IEEE
In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, however, even storing all of th...