2252 search results - page 103 / 451 » A distributed machine learning framework |
COLT
1994
Springer
15 years 4 months ago
1994
Springer
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
119
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ISCOPE
1998
Springer
15 years 4 months ago
1998
Springer
Metacomputing frameworks have received renewed attention of late, fueled both by advances in hardware and networking, and by novel concepts such as computational grids. However the...
ICML
2008
IEEE
16 years 21 days ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
111
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CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
104
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ICML
2010
IEEE
15 years 29 days ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...