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2009, 1st ed., Wiley series on methods and applications in data mining, ISBN 0470371927, xv, 246
An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated... 
Support vector machines | Computer algorithms | Data mining | Machine learning | COMPUTERS / Databases / Data Mining
Book
ACM Transactions on Intelligent Systems and Technology (TIST), ISSN 2157-6904, 04/2011, Volume 2, Issue 3, pp. 1 - 27
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000... 
Classification LIBSVM optimization regression support vector machines SVM | Algorithms | WORKING SET SELECTION | COMPUTER SCIENCE, INFORMATION SYSTEMS | Experimentation | Performance | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
2000, ISBN 0521780195, xiii, 189
This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory... 
Kernel functions | Algorithms | Machine learning
Book
Neurocomputing (Amsterdam), ISSN 0925-2312, 2019, Volume 343, pp. 50 - 64
Many machine learning applications involve imbalance class prior probabilities, multi-class classification with many classes... 
Cost-sensitive learning | SVM | Bayes consistency | Class imbalance | Classification | SVMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | Analysis | Algorithms | Machine learning
Journal Article
Machine learning, ISSN 1573-0565, 2007, Volume 68, Issue 3, pp. 267 - 276
Journal Article
Journal of statistical software, ISSN 1548-7660, 2006, Volume 15, Issue 9, pp. 1 - 28
Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language... 
Support vector machines | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | support vector machines | R
Journal Article
Physical review letters, ISSN 1079-7114, 2014, Volume 113, Issue 13, p. 130503
.... In this work, we show that the support vector machine, an optimized binary classifier, can be implemented on a quantum computer, with complexity logarithmic in the size of the vectors and the number... 
LOW-RANK APPROXIMATION | ALGORITHMS | PHYSICS, MULTIDISCIPLINARY | MATRICES | Training | Support vector machines | Algorithms | Data management | Mathematical analysis | Classification | Polynomials | Sampling
Journal Article
Pattern recognition, ISSN 0031-3203, 2015, Volume 48, Issue 6, pp. 2110 - 2117
The problem of one-against-all support vector machines (SVMs) for multilabel classification is that a data sample may be classified into a multilabel class that is not defined or it may not be classified into any class... 
Support vector machines | Training | Multilabel classification | Pattern classification | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article