1892 search results - page 208 / 379 » Warren's Abstract Machine |
114
Voted
ML
1998
ACM
15 years 3 months ago
1998
ACM
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
142
Voted
PC
1998
15 years 3 months ago
1998
The difficulty of handling out-of-core data limits the performance of supercomputers as well as the potential of the parallel machines. Since writing an efficient out-of-core ve...
130
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ML
2007
ACM
15 years 3 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
133
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RAID
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Over the past few years, virtualization has been employed to environments ranging from densely populated cloud computing clusters to home desktop computers. Security rese...
157
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ICMLA
2010
15 years 2 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...