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» Learning to learn with the informative vector machine
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ML
2002
ACM
106views Machine Learning» more  ML 2002»
13 years 7 months ago
Statistical Properties and Adaptive Tuning of Support Vector Machines
Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee
EUROCOLT
1999
Springer
13 years 12 months ago
Entropy Numbers, Operators and Support Vector Kernels
Robert C. Williamson, Alex J. Smola, Bernhard Sch&...
ASC
2008
13 years 7 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 6 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
DCC
2006
IEEE
14 years 7 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley