Searching for authors named Bob Williamson – sorted by Relevance.
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Kernel Machines and Boolean Functions
- 3168 a.kowalczyk@(email omitted); Alex J. Smola, Bob C. Williamson RSISE, MLG and TelEng ANU, Canberra, ACT
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On the algorithmic implementation of multiclass kernel-based vector machines
- , Israel Editors: Nello Cristianini, John Shawe-Taylor and Bob Williamson Abstract In this paper we
- Cited by 144 (9 self) – Add To MetaCart
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Efficient SVM training using low-rank kernel representations
- 218, Yorktown Heights, NY 10598, USA Editors: Nello Cristianini, John Shawe-Taylor and Bob Williamson
- Cited by 89 (3 self) – Add To MetaCart
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Large Margin Classification
- , University of London john@(email omitted); Bob Williamson Department of Engineering Australian National
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One-Class SVMs for Document Classification
- -Taylor and Bob Williamson Abstract We implemented versions of the SVM appropriate for one-class classification
- Cited by 57 (1 self) – Add To MetaCart
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Uniform Object Generation for Optimizing One-class Classifiers
- CJ Delft, The Netherlands Editors: Nello Cristianini, John Shawe-Taylor and Bob Williamson Abstract
- Cited by 30 (4 self) – Add To MetaCart
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Kernel partial least squares regression in reproducing kernel hilbert space
- Moffett Field, CA 94035-1000 Editors: Nello Cristianini, John Shawe-Taylor and Bob Williamson Abstract A
- Cited by 47 (5 self) – Add To MetaCart
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Journal of Machine Learning Research 2 (2001) 125-137 Submitted 3/01; Published 12/01 Support Vector Clustering
- Critianini, John Shawe-Taylor and Bob Williamson Abstract We present a novel clustering method using
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Tutorial: Bayesian Networks in Educational Assessment
- Centered Design Russell Almond, Bob Mislevy, David Williamson and Duanli Yan Unpublished work © 2002
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