3381 search results - page 324 / 677 » LEO - DB2's LEarning Optimizer |
158
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ML
2006
ACM
15 years 6 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
164
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BC
2002
15 years 6 months ago
2002
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
159
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
214
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IJCV
2010
15 years 4 months ago
2010
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
194
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
We describe online algorithms for learning a rotation from pairs of unit vectors in Rn . We show that the expected regret of our online algorithm compared to the best fixed rotati...