2111 search results - page 244 / 423 » Understanding the Yarowsky Algorithm |
145
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DGO
2003
15 years 8 months ago
2003
Statistical models fit to data often require extensive and challenging re-estimation before achieving final form. For example, outliers can adversely affect fits. In other cas...
149
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SODA
2004
ACM
15 years 8 months ago
2004
ACM
The inference of evolutionary trees using approaches which attempt to solve the maximum parsimony (MP) and maximum likelihood (ML) optimization problems is a standard part of much...
171
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NIPS
2000
15 years 7 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
145
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WSC
1998
15 years 7 months ago
1998
Heuristics are an increasingly popular solution method for combinatorial optimization problems. Heuristic use often frees the modeler from some of the restrictions placed on class...
152
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NIPS
1994
15 years 7 months ago
1994
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...