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» A Framework for Multiple-Instance Learning
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128
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ECTEL
2007
Springer
15 years 8 months ago
An Ontology based Web Annotation System to Create New Learning Practices
Web2.0 is a conceptual framework that aims at enhancing the World Wide Web with semantic and social functionnalities. For this framework to fully develop, there is a need for concr...
Christophe Piombo, Hadj Batatia, Pascal Dayre, Ala...
122
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APPINF
2003
15 years 3 months ago
Robotic Societies: Elements of Learning by Imitation
Imitation enables the individuals to acquire new abilities, and encourages social interaction and cultural transfer. The capability to obtain new abilities by observation represen...
Carlos Antonio Acosta Calderon, Huosheng Hu
ICPR
2010
IEEE
15 years 14 days ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu
121
Voted
JMLR
2010
119views more  JMLR 2010»
14 years 9 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
106
Voted
JMLR
2010
163views more  JMLR 2010»
14 years 9 months ago
Active Sequential Learning with Tactile Feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar