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ACL
1998
15 years 8 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
IJCAI
1993
15 years 8 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
BDA
2007
15 years 8 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
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COLING
2002
15 years 6 months ago
Learning Chinese Bracketing Knowledge Based on a Bilingual Language Model
This paper proposes a new method for automatic acquisition of Chinese bracketing knowledge from English-Chinese sentencealigned bilingual corpora. Bilingual sentence pairs are fir...
Yajuan Lü, Sheng Li, Tiejun Zhao, Muyun Yang
ATAL
2010
Springer
15 years 8 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone