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» A Framework for Multiple-Instance Learning
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IJIM
2007
174views more  IJIM 2007»
15 years 4 months ago
Contextual Mobile Learning: A Step Further to Mastering Professional Appliances
—In this paper we describe our approach whose objective is to apply MOCOCO concepts to e-learning. After a short presentation of MOCOCO (Mobility, COoperation, Contextua-lisation...
Bertrand T. David, René Chalon, Olivier Cha...
ITA
2007
101views Communications» more  ITA 2007»
15 years 4 months ago
Learning tree languages from text
We study the problem of learning regular tree languages from text. We show that the framework of function distinguishability as introduced by the author in Theoretical Computer Sc...
Henning Fernau
JMLR
2000
134views more  JMLR 2000»
15 years 3 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
ISVC
2010
Springer
15 years 2 months ago
Learning Scene Entries and Exits Using Coherent Motion Regions
We present a novel framework to reliably learn scene entry and exit locations using coherent motion regions formed by weak tracking data. We construct “entities” from weak trac...
Matthew Nedrich, James W. Davis
ACL
2009
15 years 1 months ago
Word or Phrase? Learning Which Unit to Stress for Information Retrieval
The use of phrases in retrieval models has been proven to be helpful in the literature, but no particular research addresses the problem of discriminating phrases that are likely ...
Young-In Song, Jung-Tae Lee, Hae-Chang Rim