Cortes, C.[Corinna],
Vapnik, V.[Vladimir],
Support-Vector Networks,
MachLearn(20), No. 3, 1995, pp. 273-297.
Initial description for SVM ideas.
0906
BibRef
Vapnik, V.[Vladimir],
The Support Vector Method,
ICANN97(263-271).
0906
BibRef
Schölkopf, B.[Bernhard],
Burges, C.[Chris],
Vapnik, V.[Vladimir],
Incorporating Invariances in Support Vector Learning Machines,
ICANN96(47-52).
0906
BibRef
Chang, C.C.,
Lin, C.J.,
LIBSVM: a library for support vector machines,
Online2001.
WWW Version.
Code, Support Vector Machines.
BibRef
0100
LIBSVMTL: a Support Vector Machine Template Library,
Online2001.
HTML Version.
Code, Support Vector Machines. Based on LIBSVM above.
BibRef
0100
Schölkopf, B.[Bernhard],
Support Vector Machines,
Oldenbourg Verlag: Munich, 1997.
BibRef
9700
Schölkopf, B.[Bernhard],
Support Vector Learning,
R. Oldenbourg VerlagMunich, 1997.
WWW Version.
BibRef
9700
Scholkopf, B.[Bernhard],
Smola, A.J.[Alexander J.],
Muller, K.R.[Klaus-Robert],
Bartlett, P.L.,
New Support Vector Algorithms,
NeurComp(12), 2000, pp. 1207-1245.
BibRef
0001
Cristianini, N.[Nello],
Schölkopf, B.[Bernhard],
Support Vector Machines and Kernel Methods:
The New Generation of Learning Machines,
AIMag(23), No. 3, Fall 2002, pp. 31-41.
Survey, SVM. Survey and general discussion.
BibRef
0200
Kienzle, W.[Wolf],
Bakir, G.H.[Gökhan H.],
Franz, M.O.[Matthias O.],
Schölkopf, B.[Bernhard],
Efficient Approximations for Support Vector Machines in Object
Detection,
DAGM04(54-61).
WWW Version.
0505
BibRef
Cristianini, N.[Nello],
Shawe-Taylor, J.[John],
An Introduction to Support Vector Machines,
Cambridge University Press2000.
Survey, SVM.
WWW Version. ISBN: 0 521 78019 5
To purchase this book look here
BibRef
0001
Chapelle, O.,
Haffner, P.,
Vapnik, V.,
Support Vector Machines for Histogram-Based Image Classification,
TNN(10), No. 5, May 1999, pp. 1055-1064.
BibRef
9905
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Robust Techniques, Robust Classification .