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Support vector machine - Wikipedia, the free encyclopedia 
 
en.wikipedia.org/wiki/Support_vector_machine
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.  
 
 
 
Idiot.s guide to Support vector machines - CS Division - Home 
 
www.cs.ucf.edu/courses/cap6412/fall2009/papers/Berwick...
3 Organization • Basic idea of support vector machines – Optimal hyperplane for linearly separable patterns – Extend to patterns that are not linearly  
 
 
 
SVM - Support Vector Machines 
 
support-vector-machines.org
Kernel-based techniques (such as support vector machines, Bayes point machines, kernel principal component analysis, and Gaussian processes) represent a major development in machine learning algorithms.  
 
 
 
Support Vector Machines (SVM) - MATLAB & Simulink 
 
www.mathworks.com/help/stats/support-vector-machines-svm...
Understanding Support Vector Machines Separable Data. You can use a support vector machine (SVM) when your data has exactly two classes. An SVM classifies data by finding the best hyperplane that separates all data points of one class from those of the other class.  
 
 
 
Support Vector Machine 
 
www.cs.columbia.edu/~kathy/cs4701/documents/jason_svm...
Support Vector Machine (and Statistical Learning Theory) Tutorial Jason Weston NEC Labs America 4 Independence Way, Princeton, USA. jasonw@nec-labs.com  
 
 
 
Part V Support Vector Machines - CS 229: Machine Learning 
 
cs229.stanford.edu/notes/cs229-notes3.pdf
CS229Lecturenotes Andrew Ng Part V Support Vector Machines This set of notes presents the Support Vector Machine (SVM) learning al-gorithm. SVMs are among the best (and many believe are indeed the best)  
 
 
 
Support Vector Machine - Michigan State University 
 
www.egr.msu.edu/classes/ece480/capstone/spring11/group04/......
Kan 2 -Introduction Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard  
 
 
 
A Tutorial on Support Vector Machines for Pattern Recognition 
 
research.microsoft.com/pubs/67119/svmtutorial.pdf
, , 1–43 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.c A Tutorial on Support Vector Machines for Pattern Recognition CHRISTOPHER J.C. BURGES burges@lucent.com  
 
 
 
Support Vector Machines - MATLAB & Simulink - MathWorks 
 
www.mathworks.com/help/stats/support-vector-machines.html
CompactClassificationSVM: Compact support vector machine for binary classification: CompactClassificationECOC: Compact multiclass model for support vector machines or other classifiers  
 
 
 
SVM-Light Support Vector Machine 
 
svmlight.joachims.org
Training software for large-scale SVMs. [Free for non-commercial use]    
 
 
Support Vector Machines (SVM) - Big Data Analytics ... 
 
www.statsoft.com/Textbook/Support-Vector-Machines
Support Vector Machines are based on the concept of decision planes that define decision boundaries.  
 
 
 
Support Vector Machines (Information Science and Statistics ... 
 
www.amazon.com/Support-Machines-Information-Science...
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications.  
 
 
 
SVM - Support Vector Machines 
 
www.support-vector-machines.org/SVM_soft.html
SVM, support vector machines, SVMC, support vector machines classification, SVMR, support vector machines regression, kernel, machine learning, pattern recognition, cheminformatics, computational chemistry, bioinformatics, computational biology  
 
 
 
Structured support vector machine - Wikipedia, the free ... 
 
en.wikipedia.org/wiki/Structured_support_vector_machine
The structured support vector machine is a machine learning algorithm that generalizes the Support Vector Machine (SVM) classifier. Whereas the SVM classifier supports binary classification, multiclass classification and regression, the structured SVM allows training of a classifier for general ...  
 
 
 
.net - Support Vector Machine library for C# - Stack Overflow 
 
stackoverflow.com/questions/10349998/support-vector...
Is there any Support Vector Machine library already implemented which I could use in my C# projects?  
 
 
 
Support Vector Machine - Tutorial 
 
www.support-vector.net/tutorial.html
This book is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. It also describes kernel methods, or kernel machines.  
 
 
 
Support Vector Machines - The Book 
 
www.support-vector.net
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory.  
 
 
 
Support Vector Machines | Springer 
 
www.springer.com/us/book/9780387772417
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The  
 
 
 
in an overview of Support Vector Machines ( SVM ). 
 
cran.r-project.org/web/packages/e1071/vignettes/svmdoc.pdf
ν-regression: with analogue modifications of the regression model as in the classification case. Usage in R The R interface to libsvm in package e1071, svm(), was designed to be as  
 
 
 
Introduction to Support Vector Machines — OpenCV 2.4.11.0 ... 
 
docs.opencv.org/doc/tutorials/ml/introduction_to_svm/...
What is a SVM?¶ A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an optimal hyperplane which categorizes new examples.  
 
 
 
Support vector machines in remote sensing: A review 
 
www.sciencedirect.com/science/article/pii/S0924271610001140
Abstract. A wide range of methods for analysis of airborne- and satellite-derived imagery continues to be proposed and assessed. In this paper, we review remote sensing implementations of support vector machines (SVMs), a promising machine learning methodology.  
 
 
 
Support Vector Machine - blogspot.com 
 
crsouza.blogspot.com/2010/04/kernel-support-vector...
Kernel methods in general have gained increased attention in recent years, partly due to the grown of popularity of the Support Vector Machines.  
 
 
 
Support vector machines - University of Wisconsin–Madison 
 
pages.cs.wisc.edu/~jerryzhu/cs540/handouts/hearst98-SVM...
Support vector machines TRENDS & CONTROVERSIESTRENDS & CONTROVERSIES By Marti A. Hearst University of California, Berkeley hearst@sims.berkeley.edu My first exposure to Support Vector Machines came this spring when I heard Sue  
 
 
 
Support Vector Machine with GPU | R Tutorial 
 
www.r-tutor.com/gpu-computing/svm/rpusvm-1
A comparison of training an SVM in CPU with LIBSVM vs training in GPU with rpusvm in rpudplus and RPUSVM.  
 
 
 
Support Vector Machines - Microsoft Research 
 
research.microsoft.com/en-us/projects/svm/default.aspx
A very fast algorithm to train Support Vector Machine classifiers.  
 
 
 
Support Vector Machine for Java? - Stack Overflow 
 
stackoverflow.com/.../support-vector-machine-for-java
I'd like to write a "smart monitor" in Java that sends out an alert any time it detects oncoming performance issues. My Java app is writing data in a structured format to a log file: <datetime&...  
 
 
 
Support Vector Machine - MIT OpenCourseWare | Free Online ... 
 
ocw.mit.edu/courses/.../6-867-machine-learning.../lec3.pdf
6.867 Machine learning, lecture 3 (Jaakkola) 1 The Support Vector Machine So far we have used a reference assumption that there exists a linear classifier that has  
 
 
 
1.2. Support Vector Machines — scikit-learn 0.15.2 ... 
 
scikit-learn.org/stable/modules/svm.html
1.2. Support Vector Machines¶ Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection.  
 
 
 
Support Vector Machines in R - Journal of Statistical ... 
 
www.jstatsoft.org/v15/i09/paper
2 Support Vector Machines in R defined by a kernel function, i.e., a function returning the inner product hΦ(x),Φ(x0)i between the images of two data points x,x0 in the feature space.    
 
 
Support Vector Machines - University of Texas at Austin 
 
www.cs.utexas.edu/~mooney/cs391L/slides/svm.ppt
Support Vector Machines Perceptron Revisited: Linear Separators Binary classification can be viewed as the task of separating classes in feature space: Linear Separators Which of the linear separators is optimal?  
 
 
 
Support Vector Machines without Tears 
 
webdoc.nyumc.org/nyumc/files/chibi/user-content/Final.pdf
About this tutorial 4 Main goal: Fully understand support vector machines (and important extensions) with a modicum of mathematics knowledge. •This tutorial is both modest  
 
 
 
Support Vector Machines — OpenCV 2.4.11.0 documentation 
 
docs.opencv.org/modules/ml/doc/support_vector_machines.html
Support Vector Machines¶ Originally, support vector machines (SVM) was a technique for building an optimal binary (2-class) classifier. Later the technique was extended to regression and clustering problems.  
 
 
 
Support Vector Machines - Oracle Help Center 
 
docs.oracle.com/database/121/DMCON/algo_svm.htm
About Support Vector Machines. Support Vector Machine (SVM) is a powerful, state-of-the-art algorithm with strong theoretical foundations based on the Vapnik-Chervonenkis theory.  
 
 
 
Support vector machines - Carnegie Mellon University 
 
www.cs.cmu.edu/~ggordon/SVMs
Support vector machines. Slides on support vector machines, as PDF or gzipped postscript. (An old version of the slides is here.) These slides were partly inspired by, and contain images quoted from, Burges's tutorial and Stitson and Weston's tutorial.    
 
 
Lecture 14 - Support Vector Machines - YouTube 
 
www.youtube.com/watch?v=eHsErlPJWUU
Support Vector Machines - One of the most successful learning algorithms; getting a complex model at the price of a simple one. Lecture 14 of 18 of Caltech's...    
 
 
Support Vector Machines - The Auton Lab 
 
www.autonlab.org/tutorials/svm15.pdf
Copyright © 2001, 2003, Andrew W. Moore Support Vector Machines: Slide 57 QP with Quintic basis functions Maximize ...  
 
 
 
Support Vector Machine – Wikipedia 
 
de.wikipedia.org/wiki/Support_Vector_Machine
Eine Support Vector Machine [səˈpɔːt ˈvektə məˈʃiːn] (SVM , die Übersetzung aus dem Englischen , „Stützvektormaschine“ oder Stützvektormethode, ist nicht gebräuchlich) ist ein Klassifikator (vgl. Klassifizierung). Eine Support Vector Machine unterteilt eine Menge von Objekten ...  
 
 
 
Support Vector Machines - PowerPoint PPT Presentation 
 
www.powershow.com/.../Support_Vector_Machines...presentation...
Support Vector Machines ; To summarize A SVM finds an hyperplace separating the training set in a feature space ... Support Vector Machine (SVM) and Statistical Learning Theory - map original input space to higher dimension feature space, ...  
 
 
 
Support Vector Machine - Encog Machine Learning Framework 
 
www.heatonresearch.com/wiki/Support_Vector_Machine
Support vector machines (SVM) are a machine learning method used for classification and regression. Support vector machines are often used in place of neural networks.  
 
 
 
Support Vector Machines (SVM) - Computer Science & Engineering 
 
www.cse.unr.edu/~bebis/MathMethods/SVM/lecture.pdf
Support Vector Machines (SVM) • Reading Assignments C. Burges, "A tutorial on support vector machines for pattern recognition", Data Mining and KnowledgeDiscovery,Kluwer Academic Publishers,  
 
 
 
Support Vector Machines - Oracle Help Center 
 
docs.oracle.com/cd/B28359_01/datamine.111/b28129/algo...
About Support Vector Machines. Support Vector Machines (SVM) is a powerful, state-of-the-art algorithm with strong theoretical foundations based on the Vapnik-Chervonenkis theory.  
 
 
 
Support Vector Machines - MIT - Massachusetts Institute of ... 
 
www.mit.edu/~9.520/spring10/Classes/class05-svm.pdf
Support Vector Machines Charlie Frogner 1 MIT 2010 1Slides mostly stolen from Ryan Rifkin (Google). C. Frogner Support Vector Machines  
 
 
 
Kernel-Machines.Org — Kernel Machines 
 
www.kernel-machines.org
A central information source for the area of Support Vector Machines, Gaussian Process prediction, Mathematical Programming with Kernels, Regularization Networks, Reproducing Kernel Hilbert Spaces, and related methods. Provides links to papers, upcoming events, datasets, code.    
 
 
A Tutorial on Support Vector Regression - Alexander J. Smola 
 
alex.smola.org/papers/2003/SmoSch03b.pdf
A Tutorial on Support Vector Regression∗ Alex J. Smola†and Bernhard Sch¨olkopf‡ September 30, 2003 Abstract In this tutorial we give an overview of the basic ideas under-  
 
 
 
Support Vector Machines and Hadoop: Theory vs. Practice ... 
 
www.distilnetworks.com/support-vector-machines-hadoop...
Support Vector Machines and Hadoop: Theory vs. Practice Published on September 18, 2013. Knowing theory is one thing. Being able to apply that theory to Big Data is a different beast.  
 
 
 
SVM Application List - ClopiNet 
 
www.clopinet.com/isabelle/Projects/SVM/applist.html
SVM Application List This list of Support Vector Machine applications grows thanks to visitors like you who ADD new entries. Thank you in advance for your contribution.  
 
 
 
Support Vector Machine - ECSE @ Rensselaer 
 
www.ecse.rpi.edu/Homepages/qji/PRML/slides-chapter7.pdf
4/3/2011 1 Chapter 7 Support Vector Machine Table of Content • Margin and support vectors • SVM formulation • Slack variables and hinge loss • SVM for multiple class  
 
 
 
Support vector machines - IEEE Conferences, Publications, and ... 
 
technav.ieee.org/tag/9042/support-vector-machines
Support vector machines Information on IEEE's Technology Navigator. Start your Research Here! Support vector machines-related Conferences, Publications, and Organizations.  
 
 
 
16. Learning: Support Vector Machines - YouTube 
 
www.youtube.com/watch?v=_PwhiWxHK8o
MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In this lecture, we explore support vector machines in some mathematical detail. We use Lagrange multipliers to maximize the width of the street given certain ...    
 
 
A User’s Guide to Support Vector Machines 
 
pyml.sourceforge.net/doc/howto.pdf
A User’s Guide to Support Vector Machines Asa Ben-Hur Department of Computer Science Colorado State University Jason Weston NEC Labs America Princeton, NJ 08540 USA    
 
 


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