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http://u.cs.biu.ac.il/~haimga/Teaching/AI/saritLectures/svm.pdf
Introduction to Support Vector Machines Starting from slides drawn by Ming-Hsuan Yang and Antoine Cornu´ejols 0. SVM Bibliography C. Burges, “A tutorial on support vector machines for pat-tern recognition”. Data Mining and Knowledge Descovery, 2(2):955-974, 1998.
http://www.gatsby.ucl.ac.uk/%7Echuwei/paper/gfsvm.pdf
A GENERAL FORMULATION FOR SUPPORT VECTOR MACHINES Wei Chu, S. Sathiya Keerthi, Chong Jin Ong Control Division, Department of Mechanical Engineering, National University of Singapore 10 Kent Ridge Crescent, Singapore, 119260 [email protected], [email protected], [email protected] ABSTRACT In this paper, we derive a general formulation of support
https://www.scientific.net/paper-keyword/support-vector-machine-svm/5
The introduction of the hidden information on the basis of SVM is called support vector machine plus (SVM+). However, the hidden information which provides something closely associated with the time series increases the difficulty of training SVM model.
http://www.work.caltech.edu/~boswell/IntroToSVM.pdf
Introduction to Support Vector Machines Dustin Boswell August 6, 2002 1 Description Support Vector Machines (SVM’s) are a relatively new learning method used for binary classi cation. The basic idea is to nd a hyperplane which separates the d-dimensional data perfectly into its two classes. However,
https://www.sciencedirect.com/science/article/pii/S0925231218302923
Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM would generate two non-parallel planes, such that each plane is closer to one of the two classes and is as far as possible from the other.Cited by: 9
https://www.researchgate.net/publication/323660342_Twin_Support_Vector_Machines_A_Survey
Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3831935/
Support vector machines (SVM) models of triaxial accelerometry and photography were used to classify nine common lifestyle activities in adults and achieved 93% accuracy (Cho et al. 2008). SVM was also applied to running, standing, jumping, and walking in 11 adults, with a recognition accuracy of 92% (He and Jin 2008 ).Cited by: 7
https://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 used for classification and regression analysis.Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category ...
https://www.amazon.com/Gentle-Introduction-Support-Machines-Biomedicine/dp/9814324388
Feb 09, 2015 · Gentle Introduction to Support Vector Machines in Biomedicine, a - Volume 1: Theory and Methods [Alexander Statnikov, Constantin F Aliferis, Douglas P Hardin, Isabelle Guyon] on Amazon.com. *FREE* shipping on qualifying offers. Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning.5/5(1)
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