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STACS
1999
Springer
15 years 10 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
ISTA
2003
15 years 8 months ago
Reflective Learning in Large Companies - can it work?
: A growing number of universities and companies are now becoming focused on promoting learning that is not merely instrumental. These aspirations refer to deep learning, transform...
Mihaela-Monica Vladoiu, Beatrice Matenciuc-Antones...
ICALT
2006
IEEE
16 years 18 days ago
Plagiarism in e-Learning Systems: Identifying and Solving the Problem for Practical Assignments
A big part of life long learning is the move from residential lectures to distance education. Distance education falls under the multi-modal policy of the teaching institution and...
Emil Marais, Ursula Minnaar, David Argles
AGENTS
2001
Springer
15 years 11 months ago
A social reinforcement learning agent
We report on the use of reinforcement learning with Cobot, a software agent residing in the wellknown online community LambdaMOO. Our initial work on Cobot (Isbell et al.2000) pro...
Charles Lee Isbell Jr., Christian R. Shelton, Mich...
ECAI
2006
Springer
15 years 10 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani