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» Machine models and lower bounds for query processing
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JPDC
2006
104views more  JPDC 2006»
13 years 7 months ago
Performance analysis of different checkpointing and recovery schemes using stochastic model
Several schemes for checkpointing and rollback recovery have been reported in the literature. In this paper, we analyze some of these schemes under a stochastic model. We have der...
Partha Sarathi Mandal, Krishnendu Mukhopadhyaya
DAWAK
2011
Springer
12 years 7 months ago
An Envelope-Based Approach to Rotation-Invariant Boundary Image Matching
(The original conference version of this paper mischaracterizes the contributions of the current authors, relative to the contributions of Keogh et al. [11, 12]. We would like to ...
Sang-Pil Kim, Yang-Sae Moon, Sun-Kyong Hong
NIPS
1998
13 years 9 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...
SLS
2009
Springer
243views Algorithms» more  SLS 2009»
14 years 2 months ago
Estimating Bounds on Expected Plateau Size in MAXSAT Problems
Stochastic local search algorithms can now successfully solve MAXSAT problems with thousands of variables or more. A key to this success is how effectively the search can navigate...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
DAGM
2010
Springer
13 years 8 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen