"Scaling the Kernel Function to Improve Performance of the Support Vector Machine"

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Book	Author(s)	Year	Publisher
Advances in kernel methods: support vector learning /	Schölkopf, Bernhard.; Burges, Christopher J. C.; Smola, Alexander J.	©1999.	MIT Press,
Advances in kernel methods: support vector learning /	Schölkopf, Bernhard.; Burges, Christopher J. C.; Smola, Alexander J.	[1999], ©1999.	MIT Press,
Support Vector Machine In Chemistry	Nianyi Chen, Wencong Lu, Jie Yang, Guozheng Li	2004	World Scientific Publishing Company
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods	Nello Cristianini; John Shawe-Taylor	2000-03	Cambridge University Press
Support Vector Machines	Ingo Steinwart; Andreas Christmann	2008	Springer New York
The kernel function and conformal mapping.	Stefan Bergman	1970	American Mathematical Society
Kernel Methods and Machine Learning	S. Y. Kung	2014-04	Cambridge University Press
Support Vector Machines Applications	Yunqian Ma; Guodong Guo	2014	Springer International Publishing
Using Support Groups to Improve Behaviour	Joan Mowat	December 19, 2007	Paul Chapman Educational Publishing
Using multidimensional scaling to describe teacher performance	John F. McCourt	1985
Learning with Support Vector Machines	Colin Campbell; Yiming Ying		Springer International Publishing
Learning with support vector machines	Colin Campbell	2011	Morgan & Claypool
Least squares support vector machines /	Suykens, Johan A. K.	2002.	World Scientific,
Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach	Jenny Terzic; Edin Terzic; Romesh Nagarajah; Muhammad Alamgir	2013	Springer International Publishing
Learning to Classify Text Using Support Vector Machines	Thorsten Joachims	2002	Springer US
Learning to classify text using support vector machines	Thorsten Joachims (auth.)	2002	Springer US
Performance cycling: the scientific way to improve your cycling performance
How to improve your company’s performance	John Kyriazoglou	2013	Bookboon.com
Support Vector Machines for Pattern Classification	Shigeo Abe	2005	Springer London
Rule Extraction from Support Vector Machines	Joachim Diederich	2008	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Scaling the Kernel Function to Improve Performance of the Support Vector Machine	Peter Williams; Sheng Li; Jianfeng Feng; Si Wu	Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I	Jun Wang; Xiaofeng Liao; Zhang Yi	2005	Springer Berlin Heidelberg
Research on Kernel Function of Support Vector Machine	Lijuan Liu; Bo Shen; Xing Wang	Advanced Technologies, Embedded and Multimedia for Human-centric Computing: HumanCom and EMC 2013	Yueh-Min Huang; Han-Chieh Chao; Der-Jiunn Deng; James J. (Jong Hyuk) Park	2014	Springer Netherlands
23 Kernel Support Vector Machine		Handbook of Computational Statistics and Data Science (2021) [et al] []	Piegorsch	2021	Wiley
Support Vector Machine Based on Hybrid Kernel Function	Xia Wu; Wanmei Tang; Xiao Wu	Information Engineering and Applications: International Conference on Information Engineering and Applications (IEA 2011)	Rongbo Zhu; Yan Ma	2012	Springer London
Support Vector Machine with Customized Kernel	Guangyi Chen; Tien Dai Bui; Adam Krzyzak; Weihua Liu	Advances in Neural Networks- ISNN 2013: 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I	Chengan Guo; Zeng-Guang Hou; Zhigang Zeng	2013	Springer Berlin Heidelberg
Wavelet Kernel Twin Support Vector Machine	Qing Wu; Boyan Zang; Zongxian Qi; Yue Gao	Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications	Pavel Krömer; Hong Zhang; Yongquan Liang; Jeng-Shyang Pan	1st ed. 2019	Springer International Publishing
Statistically–Induced Kernel Function for Support Vector Machine Classifier	Cezary Dendek; Jacek Mańdziuk	Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I	Leszek Rutkowski; Marcin Korytkowski; Rafał Scherer; Ryszard Tadeusiewicz; Lotfi Zadeh; Jacek Zurada	2012	Springer Berlin Heidelberg
116 Support Vector Machine as a Kernel Machine		Machine Learning - A Journey to Deep Learning: with Exercises and Answers	Andreas Wichert, Luis Sa-Couto	2021	World Scientific Pub Co Inc
Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods	P. Williams; S. Wu; J. Feng	Support Vector Machines: Theory and Applications	Lipo Wang	2005	Springer Berlin Heidelberg
β_SVM a new Support Vector Machine kernel	Tarek M. Hamdani; Adel M. Alimi	Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Roanne, France, 2003	David W. Pearson; Nigel C. Steele; Rudolf Albrecht	2003	Springer Vienna
Support Vector Machine and Kernel Classification Algorithms		Digital Signal Processing with Kernel Methods	José Luis Rojo-Álvarez; Manel Martínez-Ramón; Jordi Muñ; oz-Marí; ; Gustau Camps-Valls	2018	Wiley-IEEE Press
The Infinite Polynomial Kernel for Support Vector Machine	Degang Chen; Qiang He; Xizhao Wang	Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings	Xue Li; Shuliang Wang; Zhao Yang Dong	2005	Springer Berlin Heidelberg
832 A support vector machine formulation to Kernel CCA		Advances in learning theory: methods, models, and applications	Johan A. K. Suykens	2003	IOS Press
64 The Support Vector Machine Viewed as a Kernel Machine		Neural Networks and Learning Machines	Simon S. Haykin	2009	Prentice Hall
64 The Support Vector Machine Viewed as a Kernel Machine		Neural networks and learning machines	Haykin, Simon	2008;2009	Pearson Education
Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation	Mu Xiangyang; Zhang Taiyi; Zhou Yatong	MICAI 2007: Advances in Artificial Intelligence: 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings	Alexander Gelbukh; Àngel Fernando Kuri Morales	2007	Springer Berlin Heidelberg
Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set	Fangfang Wu; Yinliang Zhao	Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I	Jun Wang; Zhang Yi; Jacek M. Zurada; Bao-Liang Lu; Yin Hujun	2006	Springer Berlin Heidelberg
Optimizing Weighted Kernel Function for Support Vector Machine by Genetic Algorithm	Ha-Nam Nguyen; Syng-Yup Ohn; Soo-Hoan Chae; Dong Ho Song; Inbok Lee	MICAI 2006: Advances in Artificial Intelligence: 5th Mexican International Conference on Artificial Intelligence, Apizaco, Mexico, November 13-17, 2006, Proceedings	Alexander Gelbukh; Carlos Alberto Reyes-Garcia	2006	Springer Berlin Heidelberg
Support Vector Machine	Mathias M. Adankon; Mohamed Cheriet	Encyclopedia of Biometrics	Stan Z. Li; Anil K. Jain	2nd ed. 2015	Springer US
Support Vector Machine	Abhisek Ukil	Intelligent Systems and Signal Processing in Power Engineering	Abhisek Ukil	2007	Springer Berlin Heidelberg
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