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The oldest SVM Links on the Web
SVMS - Best Brand - Best Budget - Best Products - Black Friday Deals - Home & Garden - Reviews - Homepage - Top 10 - Top Rated - Foodshot.co
[n] n is the number of backward links according to Google.
- Kernel Machines [about 157]
A portal run by Alex Smola and Bernhard Sch�lkopf.
- Royal Holloway, University of London
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Lucent Technologies: Advanced Information System Engineering [about 57]
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Support Vector Machines - The Book [about 107]
- University of Dortmund
- mySVM [about 15] by Stefan R�ping
- SVMlight [7]
Author: Thorsten Joachims
- Support Vector Learning [about 20]
Bernhard Sch�lkopf
- Support Vector NIPS Workshop
- Support Vector Learning Bibliography [excellent chronological history of SVMs]
- People Working on Support Vectors
- Support Vector Learning: a Theoretical Foundation for Exemplar-based Object Recognition?
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Image, Speech and Intelligent Systems Research Group, Department of Electronics and Computer Science, University of Southampton: Support Vector Machines [about 13]
- Tutorials
- Research Groups
- Publications
- Software
- References
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SVM Application List [about 14]
Isabelle Guyon
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SUPPORT VECTOR MACHINES [6]
Federico Girosi
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Learning Systems Group, Department of Systems Engineering, Australian National University [about 22]
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The Gaussian Processes Web Site [about 26]
- Some relevant references
- Software
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University of Bristol - Computational Intelligence Group [about 39]
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Intelligent Data Analysis at GMD FIRST [about 19]
- Objectives
- Scenario and Applications
- Project Partners
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Neural Information Processing Systems 2001 (NIPS*2001) [about 390]
- neusciences
- Support Vector Machine [0]
- Support Vector Machine Links
- Recent talk on SVM
- People
- Support vector machines and regression [0]
J�rg Lemm
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DM: Support Vector Machines: Book Announcement [0]
Nautilus Systems, Inc
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Theory of Learning-CBCL Projects [2]
- Project Summaries:
- Multivariate Density Estimation an SVM
- Relation between Classification and Regression in Support Vector Machines
- Pedestrian Detection: A Comparison of CART and SVM
- Large-scale Multi-class Text Classification Using Support Vector Machines
- Choosing Features for Classification Problems
- Reinforcement Learning Networks
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Center for Biological and Computational Learning (CBCL) at MIT [about 389]
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Trans. PAMI: Abstract: Support Vector Machines for 3D Object
Recognition [0]
Massimiliano Pontil and Alessandro Verri
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Two Announcements on Support Vector Machines [0]
From: Chris Burges
- TUTORIAL
- SUPPORT VECTOR MACHINE WEB PAGE
- Weka 3 - Data Mining with Open Source Machine Learning Software in Java [about 159]
- COLT: Computational Learning Theory [about 103]
[includes people]
- svm version 1.2 [0]
[software]
- UCSC Bioinformatics (Computational Biology), Baskin Center for Computer Science and Engineering , University of California, Santa Cruz
- Support Vector Machines [4]
by MARK O. STITSON
- Vladimir Vapnik, AT&T Labs Research [about 44]
- Support Vector Machines - A new approach to learning [The page cannot be displayed]
ABU-MOSTAFA GROUP
Authors: Malik Magdon-Ismail, Jennie Yoder, Yaser Abu-Mostafa
- Support Vector Machines at Darmstadt University of Technology [0]
The Institute of Microloetronic Systems at Darmstadt Univeristy of Technology
- Support Vector Machines [7]
John Platt, Microsoft Research
- Support Vector Machines [1]
- Applied Hyperspectral Research/Overview/Support Vector Machines (SVM) [1]
- Kernel geometry, invariance, and support vector machines [0]
- NI Projects: Support vector machines and related classifiers [3]
- PNP Mailing List Archives: algorithms : gabor transform & support vector machines [0]
- Report on Workshop Support Vector Machine Theory and Applications at ACAI 99 [2]
- Support Vector Machine [0]
- Link
- SVM web site
- Implementation
- Dataset for Benchmarking
- BSVM [about 16]
Chih-Wei Hsu and Chih-Jen Lin
- Active Support Vector Machine Home Page [3]
David Musicant and Olvi Mangasarian
- Jonathan G Campbell WWW Links for: Support Vector Machine (svm) [0]
- Support Vector Machines [0]
- Introductory Texts
- Books
- Software
- Links for Support Vector Machines
- Support Vector Machine On-line Resources [0]
- Organizations
- Conference and Journals
- On-Line Introduction Courses
- On-Line Books
- Support Vector Machine Websites
- People working on Support Vectors
- Papers available on-line
- The Nature of Statistical Learning Theory, by Vladimir N. Vapnik
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