Libri sul tema "Structured Support Vector Machine"

Andreas, Christmann, a cura di. Support vector machines. New York: Springer, 2008.

Joachims, Thorsten. Learning to Classify Text Using Support Vector Machines. Boston, MA: Springer US, 2002.

Campbell, Colin. Learning with support vector machines. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

missing], [name. Least squares support vector machines. Singapore: World Scientific, 2002.

Joachim, Diederich, a cura di. Rule extraction from support vector machines. Berlin: Springer, 2008.

Hamel, Lutz. Knowledge discovery with support vector machines. Hoboken, N.J: John Wiley & Sons, 2009.

Bernhard, Schölkopf, Burges Christopher J. C e Smola Alexander J, a cura di. Advances in kernel methods: Support vector learning. Cambridge, Mass: MIT Press, 1999.

Boyle, Brandon H. Support vector machines: Data analysis, machine learning, and applications. Hauppauge, N.Y: Nova Science Publishers, 2011.

K, Suykens Johan A., Signoretto Marco e Argyriou Andreas, a cura di. Regularization, optimization, kernels, and support vector machines. Boca Raton: Taylor & Francis, 2014.

Support vector machines for pattern classification. 2^a ed. London: Springer, 2010.

Joachims, Thorsten. Learning to classify text using support vector machines. Boston: Kluwer Academic Publishers, 2002.

Ertekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. Saarbrücken: VDM Verlag Dr. Müller, 2009.

J, Smola Alexander, a cura di. Learning with kernels: Support vector machines, regularization, optimization, and beyond. Cambridge, Mass: MIT Press, 2002.

Terzic, Jenny. Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach. Heidelberg: Springer International Publishing, 2013.

Martinez-Ramon, Manuel. Support vector machines for antenna array processing and electromagnetics. [San Rafael, Calif.]: Morgan & Claypool Publishers, 2006.

Shi, Feng. Learn About Support Vector Machine in R With Data From the Adult Census Income Dataset (1996). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526495471.

Shi, Feng. Learn About Support Vector Machine in Python With Data From the Adult Census Income Dataset (1996). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526499585.

-W, Lee S., e Verri Alessandro, a cura di. Pattern recognition with support vector machines: First international workshop, SVM 2002, Niagara Falls, Canada, August 202 : proceedings. Berlin: Springer, 2002.

Léon-Charles, Tranchevent, Moor Bart, Moreau Yves e SpringerLink (Online service), a cura di. Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

Lorenzo, Bruzzone, a cura di. Kernel methods for remote sensing 1: Data analysis 2. Hoboken, NJ: Wiley, 2009.

The nonlinear workbook: Chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, fuzzy logic with C++, Java and symbolic C++ programs. 6^a ed. Hackensack, New Jersey: World Scientific, 2015.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 3^a ed. Hackensack, NJ: World Scientific, 2005.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5^a ed. New Jersey: World Scientific, 2011.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5^a ed. New Jersey: World Scientific, 2011.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 4^a ed. New Jersey: World Scientific, 2008.

International, Conference on Artificial Neural Networks and Genetic Algorithms (2007 Warsaw Poland). Adaptive and natural computing algorithms: 8th international conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007 : proceedings. Berlin: Springer, 2007.

Support Vector Machine In Chemistry. World Scientific Publishing Company, 2004.

Support Vector Machines. Springer New York, 2014.

Least squares support vector machines. River Edge, NJ: World Scientific, 2002.

Vandewalle, Joos, Bart De Moor, Tony Van Gestel, Jos De Brabanter e Johan A. K. Suykens. Least Squares Support Vector Machines. World Scientific Publishing Company, 2003.

Suykens, Johan A. K., Marco Signoretto e Andreas Argyriou. Regularization, Optimization, Kernels, and Support Vector Machines. Taylor & Francis Group, 2014.

Suykens, Johan A. K., Marco Signoretto e Andreas Argyriou. Regularization Optimization Kernels and Support Vector Machines. Taylor & Francis Group, 2020.

Suykens, Johan A. K., Marco Signoretto e Andreas Argyriou. Regularization, Optimization, Kernels, and Support Vector Machines. Taylor & Francis Group, 2014.

Hamel, Lutz H. Knowledge Discovery with Support Vector Machines. Wiley & Sons, Incorporated, John, 2011.

Hamel, Lutz H. Knowledge Discovery with Support Vector Machines. Wiley & Sons, Incorporated, John, 2011.

Hamel, Lutz H. Knowledge Discovery with Support Vector Machines. Wiley & Sons, Incorporated, John, 2009.

Diederich, Joachim. Rule Extraction from Support Vector Machines. Springer, 2010.

(Editor), Bernhard Schölkopf, Christopher J. C. Burges (Editor) e Alexander J. Smola (Editor), a cura di. Advances in Kernel Methods: Support Vector Learning. The MIT Press, 1998.

Wang, Lipo. Support Vector Machines: Theory and Applications. Springer Berlin / Heidelberg, 2010.

Notebooks, Funny. I Support Vector Machine: 120 Pages I 6x9 I Lined. Independently Published, 2019.

Club, Rocket Baby. Toby's Best Wall : Machine Learning for Kids: Support Vector Machines. Primedia eLaunch LLC, 2019.

Notebooks, Funny. I Support Vector Machine: 120 Pages I 6x9 I Blank. Independently Published, 2019.

Notebooks, Funny. I Support Vector Machine: 120 Pages I 6x9 I Blank. Independently Published, 2019.

Notebooks, Funny. I Support Vector Machine: 120 Pages I 6x9 I Cornell Notes. Independently Published, 2019.

Notebooks, Funny. I Support Vector Machine: 120 Pages I 6x9 I Dot Grid. Independently Published, 2019.

Abe, Shigeo. Support Vector Machines for Pattern Classification (Advances in Pattern Recognition). Springer, 2005.

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, 2000.

Terzic, Edin, Jenny Terzic, Romesh Nagarajah e Muhammad Alamgir. Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach. Springer, 2015.

Terzic, Edin, Jenny Terzic e Romesh Nagarajah. Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach. Springer, 2013.

Support Vector Machine and Parametric Wavelet-Based Texture Classification of Stem Cell Images. Storming Media, 2004.