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Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Kernel

Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Kernel

This video was recorded at Machine Learning Summer School (MLSS), Taipei 2006. The two-week summer school program consists of about 40+ hours of lectures from 7/24 to 8/4. The late afternoon sessions will provide a chance for the participants to discuss the latest research problems with the invited speakers. Prior to the summer school, the National Taiwan University of Science and Technology will offer a month-long machine learning summer course for graduate credits. You may choose part of them that fit your need or attend everything if you are sufficiently energetic.

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