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ESWS
2007
Springer
15 years 10 months ago
Semantic Composition of Lecture Subparts for a Personalized e-Learning
Abstract. In this paper we propose an algorithm for personalized learning based on a user’s query and a repository of lecture subparts —i.e., learning objects— both are descr...
Naouel Karam, Serge Linckels, Christoph Meinel
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
15 years 10 months ago
Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots
— This paper demonstrates a learning mechanism for complex tasks. Such tasks may be inherently expensive to learn in terms of training time and/or cost of obtaining each training...
Sameer Singh, Julie A. Adams
ICANN
2009
Springer
15 years 9 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
COLT
2008
Springer
15 years 6 months ago
Learning in the Limit with Adversarial Disturbances
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
Constantine Caramanis, Shie Mannor
TIFS
2010
135views more  TIFS 2010»
14 years 11 months ago
Distance Metric Learning for Content Identification
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that m...
Dalwon Jang, Chang Dong Yoo, Ton Kalker