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» Selective Attention Improves Learning
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116
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PAKM
2004
15 years 2 months ago
Developing Cooperative Environment Web Services Based on Action Research
Current technology has disappointed many users of cooperative learning environments by its complexity and only slow and tough adaptability to specific users' requirements. In ...
Renate Motschnig-Pitrik, Michael Derntl, Juergen M...
118
Voted
ICML
1994
IEEE
15 years 4 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
113
Voted
BCSHCI
2007
15 years 2 months ago
Design, use and experience of e-learning systems
The use of computer applications to support learning and assessment is becoming more common, along with a growing body of research focusing on the pedagogical effectiveness of the...
Willem-Paul Brinkman, Annette Payne, Nayna Patel, ...
95
Voted
IEICET
2007
94views more  IEICET 2007»
15 years 1 months ago
A New Meta-Criterion for Regularized Subspace Information Criterion
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the gener...
Yasushi Hidaka, Masashi Sugiyama
ICML
2003
IEEE
16 years 1 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth