1991 search results - page 222 / 399 » Small Models of Large Machines |
137
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
157
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
150
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
172
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PVM
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Designing and tuning parallel applications with MPI, particularly at large scale, requires understanding the performance implications of different choices of algorithms ...
136
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DAGSTUHL
2006
15 years 6 months ago
2006
Verification and Simulation share many issues, one is that simulation models require validation and verification. In the context of simulation, verification is understood as the ta...