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Original Articles

Prediction performance of support vector machines on input vector normalization methods

Pages 547-554 | Received 05 Dec 2003, Published online: 12 May 2010

References

  • Vapnik V. (1995) The Nature of Statistical Learning Theory Springer Verlag New York
  • Blanz V. Schölkopf B. Buülthoff H. Burges C. Vapnik V. Vetter T. (1996) Comparison of view-based object recognition algorithms using realistic 3D models In: C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, B. Sendhoff (Eds.) Artificial Neural Networks—ICANN'96 1112 Springer Lecture Notes in Computer Science, Berlin pp. 251–256
  • Cortes , C. and Vapnik , V. (1995) . Support vector networks . Machine Learning , 20 : 273 – 297 .
  • Schölkopf B. Burges C. Vapnik V. (1995) Extracting support data for a given task In: U. M. Fayyad, R. Uthurusamy (Eds.) Proceedings of 1st International Conference on Knowledge Discovery & Data Mining AAAI Press Menlo Park
  • Schölkopf B. Burges C. Vapnik V. (1996) Incorporating invariances in support vector learning machines In: C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, B. Sendhoff (Eds.) Artificial Neural Networks—ICANN'96 1112 Springer Lecture Notes in Computer Science, Berlin pp. 47–52
  • Joachims T. (1998) Text categorization with support vector machine: learning with many relevant features Proceedings of ECML-98. 10th European Conference on Machine Learning 137 142
  • Osuna E. Freund R. Girosi F. (1997) Training support vector machines: an application to face detection IEEE Conference Comput. Vision Pattern Recognition 130 136
  • Vapnik V. Golowich S. Smola A. (1997) Support vector method for function approximation, regression estimation, and signal processing In: M. Mozer, M. Jordan, T. Petsche (Eds.) Neural Information Processing Systems 9 MIT Press Cambridge MA
  • Smola A. Schölkopf B. (1998) A tutorial on support vector regression Neuro COLT Technical Report NC2-TR-1998-030 Royal Holloway, University of London UK
  • Wang F. Vuurpijl L. Schomaker L. (2000) Support vector machines for the classification of western handwritten capitals Eur. Workshop Software Process Technol. 115 130
  • Bazzani , A. , Bevilacqua , A. , Bollini , D. , Brancaccio , R. , Campanini , R. , Lanconelli , N. , Riccardi , A. and Romani , D. (2001) . An SVM classifier to separate false signals from microcalcifications in digital mammograms . Phys. Med. Biol. , 46 ( 6 ) : 1651 – 1663 .
  • Kim , D. (1999) . Normalization methods for input and output vectors in backpropagation neural networks . Int. J. Comput. Math. , 71 ( 2 ) : 161 – 171 .
  • Fletcher R. (1987) Practical Methods of Optimization John Wiley and Sons
  • Schölkopf B. Burges C. Smola A. (Eds.) (1999) Advances in Kernel Methods—Support Vector Learning MIT Press Cambridge MA
  • Weston J. Watkins C. (1998) Multi-class support vector machines Technical Report CSD-TR-98-04 Department of Computer Science, Royal Holloway, University of London UK
  • Salomon J. (2001) Support vector machines for phoneme classification M.Sc. Dissertation School of Artificial Intelligence, University of Edinburgh
  • Lee Y. Lin Y. Wahba G. (2001) Multicategory support vector machines Technical Report University of Wisconsin
  • Hsu , C.-W. and Lin , C.-J. (2002) . A comparison of methods for multi-class support vector machines . IEEE Trans. Neural Networks , 13 : 415 – 425 .
  • Friedman J. (1996) Another approach to polychotomous classification Technical Report Department of Statistics, Stanford University
  • Platt , J. , Cristianini , N. and Shawe-Taylor , J. (2000) . Large margin DAGs for multiclass classification . Adv. Neural Information Processing Sys. , 12 : 547 – 553 .
  • Kim D. Bell M. G. H. (1997) Parking vacancy detection using image processing and neural networks Proceedings of 4th ITS World Congress Berlin Germany

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