manual.bib

各种SVM分类算法

@misc{Bay1999,
   author       = "Bay, S. D.",
   title        = "The {UCI} {KDD} Archive
                   $[$\texttt{http://kdd.ics.uci.edu/}$]$",
   howpublished = "University of California, Department of Information and
                   Computer Science, Irvine, CA",
   year         = 1999
}
      
@inproceedings{Boser1992,
   author    = "Boser, B. and Guyon, I. and Vapnik, V. N.",
   title     = "A training algorithm for optimal margin classifiers",
   booktitle = "Proceedings of the fifth annual workshop on computational
                learning theory",
   publisher = "ACM",
   address   = "Pittsburgh",
   pages     = "144--152",
   year      = 1992
}

@article{Cawley2000,
   author    = "Cawley, G. C. and Talbot, N. L. C.",
   title     = "A Quick Check Up and Polish for Support Vector Classifiers",
   journal   = "I.E.E. Electronics Letters (submited)",
   year      = 2000
}

@article{Chapelle2000,
   author    = "Chapelle, O. and Vapnik, V. and Bousquet, O. and
                Mukherjee, S.",
   title     = "Choosing Kernel Parameters for Support Vector Machines",
   journal   = "Machine Learning",
   year      = 2000
}

@article{Cortes1995,
   author    = "Cortes, C. and Vapnik, V.",
   title     = "Support Vector Networks",
   journal   = "Machine Learning",
   volume    = 20,
   pages     = "1--25",
   year      = 1995
}
       
@book{Cristianini2000,
   author    = "Cristianini, N. and Shawe-Taylor, J.",
   title     = "An Introduction to Support Vector Machines (and other
                kernel-based learning methods)",
   publisher = "Cambridge University Press",
   address   = "Cambridge, U.K.",
   year      = 2000
}
  
@article{Freund1999,
   author    = "Freund, Y. and Schapire, R. E.",
   title     = "Large Margin Classification Using the Perceptron Algorithm",
   journal   = "Machine Learning",
   volume    = 37,
   number    = 3,
   pages     = "277--296",
   year      = 1999
}

@techreport{Joachims1999,
   author      = "Joachims, T.",
   title       = "Estimating the Generalization Performance of a {SVM}
                  Efficiently",
   institution = "{Univerit\"at} Dortmund, Fachbereich Informatik",
   number      = "LS-8 number 25",
   year        = 1999
}

@inproceedings{Osuna1997,
   author    = "Osuna, E. and Freund, R. and Girosi, F.",
   title     = "An improved training algorithm for support vector machines",
   booktitle = "Neural Networks for Signal Processing {VII} - Proceedings of
                the 1997 IEEE Workshop",
   editor    = "Principe, J. and Gile, L. and Morgan, N. and Wilson, E.",
   publisher = "IEEE",
   address   = "New York",
   pages     = "276--285",
   year      = 1997
}

@techreport{Platt1998,
   author    = "J. C. Platt",
   title     = "Sequential minimal optimization: {A} fast algorithm for
                training support vector machines",
   institution = "Microsoft Research",
   number      = "MSR-TR-98-14",
   year        = 1998
}

@incollection{Platt1999,
   author    = "J. C. Platt",
   title     = "Fast training of support vector machines using sequential
                minimal optimization",
   booktitle = "Advances in Kernel Methods - Support Vector Learning", 
   editor    = {Sch\"olkopf, B. and Burges, C. J. C. and Smola, A. J.},
   publisher = "MIT Press",
   address   = "Cambridge, Massachusetts",
   chapter   = 12,
   pages     = "185--208",
   year      = 1999
}

@book{Vapnik1995,
   author    = "V. N. Vapnik",
   title     = "The Nature of Statistical Learning Theory",
   publisher = "Springer-Verlag",
   address   = "New York",
   isbn      = "0-387-94559-8",
   year      = 1995
}

@book{Vapnik1998,
   author    = "V. N. Vapnik",
   title     = "Statistical Learning Theory",
   publisher = "Wiley",
   series    = "Wiley Series on Adaptive and Learning Systems for Signal
                Processing, Communications and Control",
   editor    = "S. Haykin",
   address   = "New York",
   year      = 1998
}