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» A distributed machine learning framework
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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 3 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
136
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IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 9 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
FUIN
2006
95views more  FUIN 2006»
15 years 3 months ago
Multistrategy Operators for Relational Learning and Their Cooperation
Traditional Machine Learning approaches based on single inference mechanisms have reached their limits. This causes the need for a framework that integrates approaches based on aba...
Floriana Esposito, Nicola Fanizzi, Stefano Ferilli...
106
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WWW
2004
ACM
16 years 3 months ago
Educanext: a framework for sharing live educational resources with isabel
EducaNext is an educational mediator created within the UNIVERSAL IST Project which supports both, the exchange of reusable educational materials based on open standards, as well ...
Juan Quemada, Gabriel Huecas, Tomás de Migu...
ICNS
2006
IEEE
15 years 9 months ago
Grid Infrastructure Deployment using SmartFrog Technology
The Globus Toolkit is properly configured open source software for setting up grid nodes across multiple heterogeneous platforms. The process of grid enabling a machine is a long ...
Ritu Sabharwal