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COLING
2000
13 years 8 months ago
Structural Feature Selection For English-Korean Statistical Machine Translation
When aligning texts in very different languages such as Korean and English, structural features beyond word or phrase give useful intbrmation. In this paper, we present a method f...
Seonho Kim, Juntae Yoon, Mansuk Song
CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
13 years 5 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
NIPS
2008
13 years 8 months ago
Human Active Learning
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
ECSQARU
2001
Springer
13 years 12 months ago
Reasoning about Knowledge Using Rough Sets
Abstract. In this paper, we first investigate set semantics of propositional logic in terms of rough sets and discuss how truth values of propositions (sentences) can be interpret...
Weiru Liu