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CORR
2008
Springer
118views Education» more  CORR 2008»
13 years 7 months ago
Learning Low-Density Separators
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
Shai Ben-David, Tyler Lu, Dávid Pál,...
ICMLA
2009
13 years 5 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
14 years 27 days ago
Developing Learning by Teaching Environments That Support Self-Regulated Learning
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Gautam Biswas, Krittaya Leelawong, Kadira Belynne,...
ALT
2006
Springer
14 years 4 months ago
Towards a Better Understanding of Incremental Learning
Abstract. The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requi...
Sanjay Jain, Steffen Lange, Sandra Zilles
ECIS
2000
13 years 9 months ago
Work-Based Learning and Knowledge Management: An Integrated Concept of Organizational Learning
Abstract - Organizational learning requires individual learning. Individual learning has to interact in a dynamic social environment in order to contribute to organizational learni...
Sabine Seufert