Books on the topic 'Support Vector Machine'
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Boyle, Brandon H. Support vector machines: Data analysis, machine learning, and applications. Nova Science Publishers, 2011.
Find full textHamel, Lutz. Knowledge discovery with support vector machines. John Wiley & Sons, 2009.
Find full textErtekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. VDM Verlag Dr. Müller, 2009.
Find full textJoachims, Thorsten. Learning to classify text using support vector machines. Kluwer Academic Publishers, 2002.
Find full textK, Suykens Johan A., Signoretto Marco, and Argyriou Andreas, eds. Regularization, optimization, kernels, and support vector machines. Taylor & Francis, 2014.
Find full textJ, Smola Alexander, ed. Learning with kernels: Support vector machines, regularization, optimization, and beyond. MIT Press, 2002.
Find full textBernhard, Schölkopf, Burges Christopher J. C, and Smola Alexander J, eds. Advances in kernel methods: Support vector learning. MIT Press, 1999.
Find full textMartinez-Ramon, Manuel. Support vector machines for antenna array processing and electromagnetics. Morgan & Claypool Publishers, 2006.
Find full textTerzic, Jenny. Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach. Springer International Publishing, 2013.
Find full textShi, Feng. Learn About Support Vector Machine in R With Data From the Adult Census Income Dataset (1996). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526495471.
Full textShi, Feng. Learn About Support Vector Machine in Python With Data From the Adult Census Income Dataset (1996). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526499585.
Full textJayadeva, Reshma Khemchandani, and Suresh Chandra. Twin Support Vector Machines. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46186-1.
Full textMa, Yunqian, and Guodong Guo, eds. Support Vector Machines Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02300-7.
Full textCampbell, Colin, and Yiming Ying. Learning with Support Vector Machines. Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-01552-6.
Full textMurty, M. N., and Rashmi Raghava. Support Vector Machines and Perceptrons. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41063-0.
Full textLee, Seong-Whan, and Alessandro Verri, eds. Pattern Recognition with Support Vector Machines. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45665-1.
Full textAbe, Shigeo. Support Vector Machines for Pattern Classification. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-098-4.
Full textWang, Lipo, ed. Support Vector Machines: Theory and Applications. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b95439.
Full textDiederich, Joachim, ed. Rule Extraction from Support Vector Machines. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75390-2.
Full textDrezet, P. Support vector machines for system identification. University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1998.
Find full textJoachim, Diederich, ed. Rule extraction from support vector machines. Springer, 2008.
Find full textNational Institute of Standards and Technology (U.S.), ed. Support vector machines applied to face recognition. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Find full textInternational, 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. Springer, 2007.
Find full textJoachims, Thorsten. Learning to Classify Text Using Support Vector Machines. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0907-3.
Full textStoean, Catalin, and Ruxandra Stoean. Support Vector Machines and Evolutionary Algorithms for Classification. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06941-8.
Full textJoachims, Thorsten. Learning to Classify Text Using Support Vector Machines. Springer US, 2002.
Find full textMa, Yunqian, and Guodong Guo. Support Vector Machines Applications. Springer, 2016.
Find full textLu, Wencong. Support Vector Machine in Chemistry. World Scientific Publishing Co Pte Ltd, 2004.
Find full textLu, Wencong. Support Vector Machine in Chemistry. World Scientific Publishing Co Pte Ltd, 2004.
Find full textFarquad, Mohammed. Rule Extraction from Support Vector MacHine. GRIN Verlag GmbH, 2013.
Find full textWang, Lipo. Support Vector Machines: Theory and Applications. Springer Berlin / Heidelberg, 2010.
Find full textVandewalle, Joos, Bart De Moor, Tony Van Gestel, Jos De Brabanter, and Johan A. K. Suykens. Least Squares Support Vector Machines. World Scientific Publishing Company, 2003.
Find full textSuykens, Johan A. K., Marco Signoretto, and Andreas Argyriou. Regularization, Optimization, Kernels, and Support Vector Machines. Taylor & Francis Group, 2014.
Find full textSuykens, Johan A. K., Marco Signoretto, and Andreas Argyriou. Regularization, Optimization, Kernels, and Support Vector Machines. Taylor & Francis Group, 2014.
Find full textSuykens, Johan A. K., Marco Signoretto, and Andreas Argyriou. Regularization Optimization Kernels and Support Vector Machines. Taylor & Francis Group, 2020.
Find full textHamel, Lutz H. Knowledge Discovery with Support Vector Machines. Wiley & Sons, Incorporated, John, 2011.
Find full textHamel, Lutz H. Knowledge Discovery with Support Vector Machines. Wiley & Sons, Incorporated, John, 2011.
Find full textHamel, Lutz H. Knowledge Discovery with Support Vector Machines. Wiley & Sons, Incorporated, John, 2009.
Find full textClub, Rocket Baby. Toby's Best Wall : Machine Learning for Kids: Support Vector Machines. Primedia eLaunch LLC, 2019.
Find full textGoldberg, Andrew, and Xiaojin Zhu. Introduction to Semi-Supervised Learning. Morgan & Claypool Publishers, 2009.
Find full textGoldberg, Andrew, and Xiaojin Zhu. Introduction to Semi-supervised Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning). Morgan & Claypool Publishers, 2008.
Find full textAbe, Shigeo. Support Vector Machines for Pattern Classification (Advances in Pattern Recognition). Springer, 2005.
Find full text(Editor), Bernhard Schölkopf, Christopher J. C. Burges (Editor), and Alexander J. Smola (Editor), eds. Advances in Kernel Methods: Support Vector Learning. The MIT Press, 1998.
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