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AIED
2005
Springer
14 years 1 months ago
2005
Springer
Most of today’s course generation does not allow an in-depth, generic representation of pedagogical knowledge. However, supporting individual learners with different goals requi...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
ICA
2010
Springer
13 years 8 months ago
2010
Springer
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
NIPS
2008
13 years 9 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...