3624 search results - page 195 / 725 » Learning to learn: From smart machines to intelligent machin... |
196
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JMLR
2010
15 years 1 months ago
2010
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
146
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ML
2006
ACM
15 years 6 months ago
2006
ACM
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
219
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ILP
2007
Springer
16 years 22 days ago
2007
Springer
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
167
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CADE
2008
Springer
16 years 6 months ago
2008
Springer
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
181
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EMNLP
2008
15 years 8 months ago
2008
Syntactic word reordering is essential for translations across different grammar structures between syntactically distant languagepairs. In this paper, we propose to embed local a...