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» Learning and Generalization with the Information Bottleneck
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TCS
2011
14 years 4 months ago
Smart PAC-learners
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
Malte Darnstädt, Hans-Ulrich Simon
CHI
2010
ACM
15 years 4 months ago
Learning basic dance choreographies with different augmented feedback modalities
We plan to evaluate different kinds of augmented feedback (tactile, video, sound) for learning basic dance choreographies. Therefore we develop a dance training system based on mo...
Dieter Drobny, Jan Borchers
KES
2007
Springer
15 years 4 months ago
Making Financial Trading by Recurrent Reinforcement Learning
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
Francesco Bertoluzzo, Marco Corazza
NIPS
2008
14 years 11 months ago
A rational model of preference learning and choice prediction by children
Young children demonstrate the ability to make inferences about the preferences of other agents based on their choices. However, there exists no overarching account of what childr...
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu,...
WWW
2004
ACM
15 years 10 months ago
Dynamic assembly of learning objects
This paper describes one solution to the problem of how to select sequence, and link Web resources into a coherent, focused organization for instruction that addresses a user'...
Robert G. Farrell, Soyini D. Liburd, John C. Thoma...