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ICANN
2009
Springer
15 years 8 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
AGENTS
2001
Springer
15 years 8 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
ITICSE
1999
ACM
15 years 8 months ago
Who wants to learn online?
A study of how different groups of people find the experience of flexible online learning. A first year course in Internet and Web Design is offered to a diverse range of students...
Stuart Young, Ross Dewstow, Mae McSporran
TARK
1998
Springer
15 years 8 months ago
The Learning Power of Belief Revision
Belief revision theory aims to describe how one should change one's beliefs when they are contradicted by newly input information. The guiding principle of belief revision th...
Kevin T. Kelly
ECTEL
2006
Springer
15 years 7 months ago
Technology Appropriation in Face-to-Face Collaborative Learning
Studies in computer supported collaborative learning frequently under-expose the interaction between students and technology. To gain more insight in the way student groups interac...
Maarten Overdijk, Wouter van Diggelen