An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20101203/164ef212/attachment.pl>
book about "support vector machines"
7 messages · manuel.martin, Neeti, Georg Ruß +4 more
think this might help you for start..... http://www.kernel-machines.org/frequently-asked-questions :)
View this message in context: http://r.789695.n4.nabble.com/book-about-support-vector-machines-tp3071210p3071218.html Sent from the R help mailing list archive at Nabble.com.
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/ (which, in turn, is from ?svm)
Regards,
Georg.
--
Research Assistant
Otto-von-Guericke-Universit?t Magdeburg
research at georgruss.de
http://research.georgruss.de
An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20101204/eb0065be/attachment.pl>
2 days later
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. 180 Grand Avenue, Suite 250 Oakland, California 94612-3774 510.839.1742 x104 (voice) 510.839.0871 (fax) www.dowlinginc.com ? Please consider the environment before printing this e-mail. Confidentiality Notice: This e-mail message, including any attachments, is for the sole use of the intended recipient(s), and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of km Sent: Friday, December 03, 2010 10:16 PM To: Georg Ru? Cc: r-help at 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 at 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/>(which, in turn, is from ?svm)
Regards,
Georg.
--
Research Assistant
Otto-von-Guericke-Universitdt Magdeburg research at georgruss.de
http://research.georgruss.de
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20101206/4c8018da/attachment.pl>
Hi, On Fri, Dec 3, 2010 at 10:23 AM, manuel.martin
<manuel.martin at orleans.inra.fr> wrote:
Dear all, 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. Does anyone has an idea of a good book for that matter?
Here's another intro to support vector regression: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.99.2073&rep=rep1&type=pdf
Steve Lianoglou Graduate Student: Computational Systems Biology ?| Memorial Sloan-Kettering Cancer Center ?| Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact