An Introduction To Support Vector Machines Bibtex

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CiteSeerX — An introduction to support vector machines for ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.7639
    BibTeX @INPROCEEDINGS{Burbidge01anintroduction, author = {Robert Burbidge and Bernard Buxton}, title = { An introduction to support vector machines for data mining}, booktitle = {KEYNOTE PAPERS, YOUNG OR12, UNIVERSITY OF NOTTINGHAM, OPERATIONAL RESEARCH SOCIETY, OPERATIONAL RESEARCH SOCIETY}, year = {2001}, pages = {3--15}, publisher = {}}

An Introduction to Support Vector Machines and Other ...

    https://www.bibsonomy.org/bibtex/2251b00a05b3df11168de911d7591490e/macek
    An Introduction to Support Vector Machines and Other Kernel-based Learning Methods N. Cristianini , and J. Shawe-Taylor . Cambridge University Press , 1 edition, ( 2000Book Edition: 1

CiteSeerX — An introduction to Support Vector Machines for ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.3471
    BibTeX @INPROCEEDINGS{Burbidge01anintroduction, author = {Robert Burbidge and Bernard Buxton}, title = {An introduction to Support Vector Machines for data mining,” Keynote papers, young}, booktitle = {OR 12, University 1013 Academy of Science, Engineering and Technology 15 2008 of Nottingham, M. Sheppee (ed), Operational research Society}, year = {2001}, pages = {315}}

CiteSeerX — An Introduction to Support Vector Machines

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.488.5833
    BibTeX @MISC{Lee_anintroduction, author = {Yuh-jye Lee and Yi-ren Yeh and Hsing-kuo Pao}, title = {An Introduction to Support Vector Machines}, year = {}} Share. OpenURL . Abstract. Keyphrases. support vector machine Powered by: About CiteSeerX; Submit and Index Documents ...

Introduction to Support Vector Machines BibSonomy

    https://www.bibsonomy.org/bibtex/2ba26a8564de0a201f03cebbff6b2c228/macek
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A biologist’s introduction to support vector machines (2006)

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.407.748
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The support vector machine (SVM) is a pattern recognition algorithm that has been used to analyze an increasing variety of complex biological data sets, including microarray expression profiles, DNA and protein sequences, protein-protein interaction networks, tandem mass spectra, etc.

CiteSeerX — An introduction to support vector machines

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.667.9189
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): erin

An Introduction to Support Vector Machines and Other ...

    https://books.google.com/books/about/An_Introduction_to_Support_Vector_Machin.html?id=_PXJn_cxv0AC
    Mar 23, 2000 · This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the ...

Introduction to Support Vector Machines

    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.

Support Vector Machines – An Introduction SpringerLink

    https://link.springer.com/chapter/10.1007/10984697_1
    Apr 22, 2005 · This is a book about learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying support vector machines (SVMs) a.k.a. kernel machines. The basic aim of this introduction 1 is to give, as far as possible, a condensed (but systematic) presentation of a novel learning paradigm embodied in SVMs.



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