hi: i don't know that book but there's another pretty new book on svms by
lutz hamel. It's pretty gentle but very nice, especially if you have ZERO
background on svms.

there's also another one titled "an introduction to svms" by cristianini and
shawne-taylor that's also quite good but much more demanding technically.


On Mon, Dec 6, 2010 at 12:39 PM, David Reinke <dreinke@dowlinginc.com>wrote:

> My favorite book on SVM is Learning with Kernels by Scholkopf and Smola.
> You might also want to consider a relevance vector machine, which is a more
> recent development. RVM is Bayesian-based and usually produces a sparser
> representation than a SVM. Check out Mike Tipping's web site at
> http://www.miketipping.com/
>
> There is also a good description of RVM in Bishop's book: Pattern
> Recognition and Machine Learning.
>
> David Reinke
>
> Senior Transportation Engineer/Economist
> Dowling Associates, Inc.
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> -----Original Message-----
> From: r-help-bounces@r-project.org [mailto:r-help-bounces@r-project.org]
> On Behalf Of km
> Sent: Friday, December 03, 2010 10:16 PM
> To: Georg Ruß
> Cc: r-help@r-project.org; manuel.martin
> Subject: Re: [R] book about "support vector machines"
>
> a bit of caution.
> the latest version of libsvm is not yet available in the  e1071 R-package.
>
> regards,
> KM
>
> On Fri, Dec 3, 2010 at 9:52 PM, Georg Ru_ <research@georgruss.de> wrote:
>
> > On 03/12/10 16:23:33, manuel.martin wrote:
> > > I am currently looking for a book about support vector machines for
> > > regression and classification and am a bit lost since they are
> > > plenty of books dealing with this subject. I am not totally new to
> > > the field and would like to get more information on that subject for
> > > later use with the e1071
> > > <http://cran.r-project.org/web/packages/e1071/index.html>
> > > package for instance.
> >
> > Hi Manuel,
> >
> > there's also the references mentioned in ?svm once you've loaded the
> > e1071 library. Nevertheless, that's rather detailed on the
> > implementation side, not on the general picture that I assume you'd like
> for a book.
> >
> > library("e1071")
> > ?svm
> >
> > There's also the downloadable "A guide for beginners: C.-W. Hsu, C.-C.
> > Chang, C.-J.  Lin. A practical guide to support vector classification"
> > mentioned in the "additional information" section of
> > http://www.csie.ntu.edu.tw/~cjlin/libsvm/<http://www.csie.ntu.edu.tw/%7Ecjlin/libsvm/>
> <http://www.csie.ntu.edu.tw/%
> > 7Ecjlin/libsvm/>(which, in turn, is from ?svm)
> >
> > Regards,
> > Georg.
> > --
> > Research Assistant
> > Otto-von-Guericke-Universitdt Magdeburg research@georgruss.de
> > http://research.georgruss.de
> >
> > ______________________________________________
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> > PLEASE do read the posting guide
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> > and provide commented, minimal, self-contained, reproducible code.
> >
>
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