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» A Framework for Multiple-Instance Learning
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ICRA
2009
IEEE
161views Robotics» more  ICRA 2009»
15 years 9 months ago
Learning and generalization of motor skills by learning from demonstration
— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...
Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan...
ICALT
2009
IEEE
15 years 9 months ago
iCoper Best Practice Uses Cases and Standards for Learning Delivery
This conceptual paper outlines best practice use cases and standards for learning delivery that are the result of a European-wide best practice case study survey within the EU-fun...
Daniel Mueller, Volker Zimmermann
ICONIP
2004
15 years 3 months ago
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
Ricardo Matsumura de Araújo, Luís C....
ICC
2007
IEEE
102views Communications» more  ICC 2007»
15 years 8 months ago
Use of Fuzzy Bayesian Clustering to Enhance Generalization Capacity of Radio Network Planning Tool
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Zakaria Nouir, Berna Sayraç, Benoît F...
JMLR
2012
13 years 4 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...