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ICASSP
2009
IEEE
16 years 1 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
EUROSYS
2006
ACM
16 years 3 months ago
URICA: Usage-awaRe Interactive Content Adaptation for mobile devices
Usage-awaRe Interactive Content Adaptation (URICA) is an automatic technique that adapts content for display on mobile devices based on usage semantics. URICA allows users who are...
Iqbal Mohomed, Jim Chengming Cai, Eyal de Lara
KESAMSTA
2009
Springer
16 years 1 months ago
Relational Learning by Imitation
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
Grazia Bombini, Nicola Di Mauro, Teresa Maria Alto...
AH
2008
Springer
16 years 27 days ago
Supporting Users in Creating Pedagogically Sound Personalised Learning Objects
Successful eLearning is predicated on the application of pedagogies appropriate to online education that respond to the capabilities and needs of the learners. Typically, designing...
Aoife Brady, Owen Conlan, Vincent Wade, Declan Dag...
ICARCV
2006
IEEE
100views Robotics» more  ICARCV 2006»
16 years 18 days ago
Decentralized Reinforcement Learning Control of a Robotic Manipulator
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
Lucian Busoniu, Bart De Schutter, Robert Babuska