Article

The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines

Authors:

Thilo-Thomas Frieß,

Nello Cristianini,

Colin CampbellAuthors Info & Claims

ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning

Pages 188 - 196

Published: 24 July 1998 Publication History

Abstract

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Niu LZhao XShi Y(2014)A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector MachinesProceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0210.1109/WI-IAT.2014.130(436-441)Online publication date: 11-Aug-2014
https://dl.acm.org/doi/10.1109/WI-IAT.2014.130
Ruano AMadureira GBarros OKhosravani HRuano MFerreira P(2014)Seismic detection using support vector machinesNeurocomputing10.1016/j.neucom.2013.12.020135:C(273-283)Online publication date: 5-Jul-2014
https://dl.acm.org/doi/10.1016/j.neucom.2013.12.020
Ñanculef RFrandi ESartori CAllende H(2014)A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM trainingInformation Sciences: an International Journal10.1016/j.ins.2014.03.059285:C(66-99)Online publication date: 20-Nov-2014
https://dl.acm.org/doi/10.1016/j.ins.2014.03.059
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Index Terms

The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Machine learning
    1. Learning paradigms
    2. Machine learning approaches
      1. Markov decision processes
2. Theory of computation
  1. Randomness, geometry and discrete structures
  2. Theory and algorithms for application domains
    1. Machine learning theory
      1. Markov decision processes

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Published In

ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning

July 1998

573 pages

ISBN:1558605568

Editor:
Jude W. Shavlik

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 24 July 1998

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Niu LZhao XShi Y(2014)A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector MachinesProceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0210.1109/WI-IAT.2014.130(436-441)Online publication date: 11-Aug-2014
https://dl.acm.org/doi/10.1109/WI-IAT.2014.130
Ruano AMadureira GBarros OKhosravani HRuano MFerreira P(2014)Seismic detection using support vector machinesNeurocomputing10.1016/j.neucom.2013.12.020135:C(273-283)Online publication date: 5-Jul-2014
https://dl.acm.org/doi/10.1016/j.neucom.2013.12.020
Ñanculef RFrandi ESartori CAllende H(2014)A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM trainingInformation Sciences: an International Journal10.1016/j.ins.2014.03.059285:C(66-99)Online publication date: 20-Nov-2014
https://dl.acm.org/doi/10.1016/j.ins.2014.03.059
Shawe-Taylor JSun S(2011)A review of optimization methodologies in support vector machinesNeurocomputing10.1016/j.neucom.2011.06.02674:17(3609-3618)Online publication date: 1-Oct-2011
https://dl.acm.org/doi/10.1016/j.neucom.2011.06.026
Ban TKadobayashi YAbe S(2009)Sparse kernel feature analysis using FastMap and its variantsProceedings of the 2009 international joint conference on Neural Networks10.5555/1704175.1704433(1788-1795)Online publication date: 14-Jun-2009
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Malekmohamadi HGhaemmaghami S(2009)Steganalysis of LSB based image steganography using spatial and frequency domain featuresProceedings of the 2009 IEEE international conference on Multimedia and Expo10.5555/1698924.1699362(1740-1743)Online publication date: 28-Jun-2009
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Amato GBolettieri PCosta Gla Torre FMartinelli F(2009)Detection of images with adult content for parental control on mobile devices?Proceedings of the 6th International Conference on Mobile Technology, Application & Systems10.1145/1710035.1710070(1-5)Online publication date: 2-Sep-2009
https://dl.acm.org/doi/10.1145/1710035.1710070
Martinetz TLabusch KSchneegaß D(2009)SoftdoublemaxminoverIEEE Transactions on Neural Networks10.1109/TNN.2009.201671720:7(1061-1072)Online publication date: 1-Jul-2009
https://dl.acm.org/doi/10.1109/TNN.2009.2016717
Jeleń ŁKrzyżak AFevens T(2008)Comparison of pleomorphic and structural features used for breast cancer malignancy classificationProceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence10.5555/1788714.1788728(138-149)Online publication date: 28-May-2008
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Amato GSavino PMagionami VFotouhi FGrosky WStanchev P(2008)Use of weighted visual terms and machine learning techniques for image content recognition relying on mpeg-7 visual descriptorsProceedings of the 2nd ACM workshop on Multimedia semantics10.1145/1460676.1460689(60-63)Online publication date: 31-Oct-2008
https://dl.acm.org/doi/10.1145/1460676.1460689
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Maximum margin equalizers trained with the Adatron algorithm

Kernel projection algorithm for large-scale SVM problems

Feature space versus empirical kernel map and row kernel space in SVMs

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