Marco Sciandrone Support Vector Machines

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Marco Sciandrone – GOL - UniFI

    https://webgol.dinfo.unifi.it/who-we-are/marco-sciandrone/
    Marco Sciandrone. Marco Sciandrone – Full professor of Operations Research Dipartimento di Ingegneria dell’Informazione. ... Survey on Nonlinear Optimization and Support Vector Machines. A long history of sport (and beyond) GOL Calendar. February 7, 2020. A beatiful paper. Starts: 12:00 am. Ends: February 7, 2020 - 11:59 pm.

list of publications of Marco Sciandrone – GOL

    https://webgol.dinfo.unifi.it/list-of-publications-of-marco-sciandrone/
    List of publications of Marco Sciandrone. G. Cocchi, T. Levato, G. Liuzzi, M.Sciandrone. A concave optimization-based approach for sparse multiobjective programming.

Marco Sciandrone - Google Scholar Citations

    http://scholar.google.com/citations?user=g2hzthgAAAAJ&hl=en
    Their combined citations are counted only for the first article. ... Marco Sciandrone. Professor of Operations Research, University of Florence. Verified email at unifi.it ... A convergent decomposition algorithm for support vector machines. S Lucidi, L Palagi, A Risi, M Sciandrone.

Nonlinear optimization and support vector machines ...

    https://link.springer.com/article/10.1007/s10288-018-0378-2
    May 23, 2018 · Support Vector Machine (SVM) is one of the most important class of machine learning models and algorithms, and has been successfully applied in …Cited by: 3

(PDF) Nonlinear Optimization and Support Vector Machines

    https://www.researchgate.net/publication/323692775_Nonlinear_Optimization_and_Support_Vector_Machines
    Nonlinear Optimization and Support Vector Machines 13 the subproblem, must be gre ater than or equal to 2, due to the presence of the linear constraint, otherwise we would ha ve α k +1 = α k .

L. Palagi, M. Sciandrone ON THE CONVERGENCE OF A …

    http://www.dis.uniroma1.it/%7Epalagi/papers02/triasi.pdf
    ON THE CONVERGENCE OF A MODIFIED VERSION OF SVMLIGHT ALGORITHM R. 567 2002 ... National Research Program “Optimization methods for Support Vector Machines”. Marco Sciandrone – Istituto di Analisi dei Sistemi ed Informatica del CNR, viale Manzoni 30 - 00185 Roma, Italy. ... Support Vector Machines, SVMlight algorithm, decomposition methods ...

Marco Sciandrone University of Florence, Florence ...

    https://www.researchgate.net/profile/Marco_Sciandrone2
    A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

Working Set Selection Using Second Order Information for ...

    https://dl.acm.org/doi/10.5555/1046920.1194907
    Increasing the step of the Newtonian decomposition method for support vector machines. Technical Report MECSE-29-2003, Dept. Electrical and Computer Systems Engineering Monash University, Australia, 2003a. Google Scholar; D. Lai, N. Mani, and M. Palaniswami. A new method to select working sets for faster training for support vector machines.

Support-vector machine - Wikipedia

    https://en.wikipedia.org/wiki/Support_vector_machines
    The soft-margin support vector machine described above is an example of an empirical risk minimization (ERM) algorithm for the hinge loss. Seen this way, support vector machines belong to a natural class of algorithms for statistical inference, and many of its unique features are due to …

Support Vector Machines (Information Science and ...

    https://www.amazon.com/Support-Machines-Information-Science-Statistics/dp/0387772413
    Support Vector Machines (Information Science and Statistics) [Ingo Steinwart, Andreas Christmann] on Amazon.com. *FREE* shipping on qualifying offers. Every mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modeling and ...Cited by: 2281



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