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» Automatic Ordering of Subgoals - A Machine Learning Approach
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158
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TKDE
2011
186views more  TKDE 2011»
14 years 10 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...
116
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ACG
2009
Springer
15 years 10 months ago
Deriving Concepts and Strategies from Chess Tablebases
Abstract. Complete tablebases, indicating best moves for every position, exist for chess endgames. There is no doubt that tablebases contain a wealth of knowledge, however, mining ...
Matej Guid, Martin Mozina, Aleksander Sadikov, Iva...
140
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ICCSA
2005
Springer
15 years 9 months ago
Semantic Annotation of Biomedical Literature Using Google
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical informa...
Rune Sætre, Amund Tveit, Tonje Strommen Stei...
125
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NAACL
2007
15 years 4 months ago
A Log-Linear Block Transliteration Model based on Bi-Stream HMMs
We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letteralignment and letter n-gram pairs learned from ...
Bing Zhao, Nguyen Bach, Ian R. Lane, Stephan Vogel
101
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NAACL
2003
15 years 4 months ago
A Context-Sensitive Homograph Disambiguation in Thai Text-to-Speech Synthesis
Homograph ambiguity is an original issue in Text-to-Speech (TTS). To disambiguate homograph, several efficient approaches have been proposed such as part-of-speech (POS) n-gram, B...
Virongrong Tesprasit, Paisarn Charoenpornsawat, Vi...