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» Learning and Classification of Complex Dynamics
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UAI
2008
13 years 9 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
ICPR
2000
IEEE
14 years 9 days ago
Feature Learning for Recognition with Bayesian Networks
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
Justus H. Piater, Roderic A. Grupen
AMS
2005
Springer
112views Robotics» more  AMS 2005»
14 years 1 months ago
Combining Learning and Programming for High-Performance Robot Controllers
Abstract. The implementation of high-performance robot controllers for complex control tasks such as playing autonomous robot soccer is tedious, errorprone, and a never ending prog...
Alexandra Kirsch, Michael Beetz
ECTEL
2006
Springer
13 years 11 months ago
COOPER: Towards a Collaborative Open Environment of Project-Centred Learning
Abstract. Nowadays, engineering studies are characterized by high mobility of students, lecturers and workforce and by the dynamics of multinational companies where "classes&q...
Aldo Bongio, Jan van Bruggen, Stefano Ceri, Valent...
ECTEL
2007
Springer
14 years 2 months ago
Enabling Project-Centred Learning through Flexible Processes: the COOPER Experience
This paper proposes a model-driven, extensible platform, delivered on the Web, which is able to support long-distance collaboration of students’ teams working on complex projects...
Stefano Ceri, Florian Daniel, Maristella Matera, A...