"Kernel Functions for the Support Vector Machine: Comparing Performances on Crude Oil Price Data"

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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
Some supply price estimates for synthetic crude oil in Canada	Z. Charles Slagorsky	1978	Canadian Energy Research Institute
Crude Oil Chemistry	Vasily Simanzhenkov; Raphael Idem	2003	Routledge
Crude Oil Fouling	Francesco Coletti and Geoffrey Hewitt	2015	Gulf Professional Publishing
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
Crude: the story of oil	Sonia Shah	2004	Seven Stories Press
Theta functions, kernel functions, and Abelian integrals	Dennis A. Hejhal	©1972	American Mathematical Society
The effects of the crude oil windfall profits tax on recoverable crude oil resources and production therefrom	Resource Analysis & Management Group (Oklahoma City, Okla.)	1980	The Commission
Heavy Crude Oil Recovery	E. Okandan	1984	Springer Netherlands
Production of crude oil	United States. Bureau of Mines.	1918
The Christoffel-Darboux Kernel for Data Analysis	Jean Bernard Lasserre; Edouard Pauwels; Mihai Putinar	2022-04	Cambridge University Press
Support Vector Machines for Pattern Classification	Shigeo Abe	2005	Springer London
Support Vector Machines for Pattern Classification	Shigeo Abe	2nd ed. 2010	Springer London
Crude Continent The Struggle For Africas Oil Prize	Duncan Clarke	2010	Profile Books Ltd
Crude Continent The Struggle For Africas Oil Prize	Duncan Clarke	2009	Profile Books(GB)
Kernel Methods and Machine Learning	S. Y. Kung	2014-04	Cambridge University Press
Calculus of vector functions	Richard E. Williamson, Richard H. Crowell, Hale F. Trotter	1972	Prentice-Hall
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Kernel Functions for the Support Vector Machine: Comparing Performances on Crude Oil Price Data	Haruna Chiroma; Sameem Abdulkareem; Adamu I. Abubakar; Tutut Herawan	Recent Advances on Soft Computing and Data Mining: Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaJune 16th-18th, 2014	Tutut Herawan; Rozaida Ghazali; Mustafa Mat Deris	2014	Springer International Publishing
Orthogonal Wavelet Support Vector Machine for Predicting Crude Oil Prices	Haruna Chiroma; Sameem Abdul-Kareem; Adamau Abubakar; Akram M. Zeki; Mohammed Joda Usman	Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)	Tutut Herawan; Mustafa Mat Deris; Jemal Abawajy	2014	Springer Nature Singapore
23 Kernel Support Vector Machine		Handbook of Computational Statistics and Data Science (2021) [et al] []	Piegorsch	2021	Wiley
A New Method for Crude Oil Price Forecasting Based on Support Vector Machines	Wen Xie; Lean Yu; Shanying Xu; Shouyang Wang	Computational Science - ICCS 2006: 6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part IV	Vassil N. Alexandrov; G. Dick van Albada; Peter M.A. Sloot; J. J. Dongarra	2006	Springer Berlin Heidelberg
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
Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data	Bram Vanschoenwinkel; Bernard Manderick	Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures	Joab Winkler; Neil Lawrence; Mahesan Niranjan	2005	Springer Berlin Heidelberg
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
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
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
Price Sensitive Support Vector Machine Based on Data Set Decomposition	Xia Guilin	Proceedings of the 2012 International Conference of Modern Computer Science and Applications	Zhenyu Du	2013	Springer Berlin Heidelberg
Crude Oil Price Controls		Economics of Regulation and Antitrust, fifth edition (The MIT Press)	W. Kip Viscusi, Joseph E. Harrington Jr., David E. M. Sappington	2018	The MIT Press
Class Information Adapted Kernel for Support Vector Machine	Tasadduq Imam; Kevin Tickle	Neural Information Processing. Models and Applications: 17th International Conference, ICONIP 2010, Sydney, Australia, November 21-25, 2010, Proceedings, Part II	Kevin K.W. Wong; B. Sumudu U. Mendis; Abdesselam Bouzerdoum	2011	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
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
A Coupled Similarity Kernel for Pairwise Support Vector Machine	Mu Li; Jinjiu Li; Yuming Ou; Longbing Cao	Agents and Data Mining Interaction: 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers	Longbing Cao; Yifeng Zeng; Bo An; Andreas L. Symeonidis; Vladimir Gorodetsky; Frans Coenen; Philip S. Yu	2015	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
Some Computational Considerations for Kernel-Based Support Vector Machine	Mohsen Esmaeilbeigi; Alireza Daneshkhah; Omid Chatrabgoun	Digital Twin Technologies and Smart Cities	Maryam Farsi; Alireza Daneshkhah; Amin Hosseinian-Far; Hamid Jahankhani	1st ed. 2020	Springer International Publishing
64 The Support Vector Machine Viewed as a Kernel Machine		Neural Networks and Learning Machines	Simon S. Haykin	2009	Prentice Hall
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