"Incremental Support Vector Machine Learning: A Local Approach"

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Book	Author(s)	Year	Publisher
Support Vector Machine In Chemistry	Nianyi Chen, Wencong Lu, Jie Yang, Guozheng Li	2004	World Scientific Publishing Company
Learning with Support Vector Machines	Colin Campbell; Yiming Ying		Springer International Publishing
Learning with support vector machines	Colin Campbell	2011	Morgan & Claypool
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
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,
Kinesthetic Perception: A Machine Learning Approach	Subhasis Chaudhuri; Amit Bhardwaj	1st ed. 2018	Springer Nature Singapore
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Biometric authentication: a machine learning approach /	Kung, S. Y.; Mak, M. W.; Lin, Shang-Hung,	[2005], ©2005.	Prentice Hall Professional Technical Reference,
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
Support Vector Machines	Ingo Steinwart; Andreas Christmann	2008	Springer New York
Empirical Approach to Machine Learning	Plamen P. Angelov; Xiaowei Gu	1st ed. 2019	Springer International Publishing
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	©1998.	MIT Press,
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	[1998], ©1998.	MIT Press,
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	[2001], ©2001.	MIT Press,
Bioinformatics: the machine learning approach	Pierre Baldi	1998	MIT Press
Machine Learning: An Artificial Intelligence Approach, Volume II (Machine Learning)	Ryszard S. Michalski; Jaime G. Carbonell; Tom M. Mitchell	January 1, 1986	Morgan Kaufmann
Facial Kinship Verification: A Machine Learning Approach	Haibin Yan; Jiwen Lu	1st ed. 2017	Springer Nature Singapore
Combinatorial Machine Learning: A Rough Set Approach	Mikhail Moshkov; Beata Zielosko	2011	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Incremental Support Vector Machine Learning: A Local Approach	Liva Ralaivola; Florence d’Alché-Buc	Artificial Neural Networks - ICANN 2001: International Conference Vienna, Austria, August 21-25, 2001 Proceedings	Georg Dorffner; Horst Bischof; Kurt Hornik	2001	Springer Berlin Heidelberg
An Incremental Approach to Support Vector Machine Learning	Jing Jin	Advances in Neural Networks – ISNN 2012: 9th International Symposium on Neural Networks, ISNN 2012, Shenyang, China, July 11-14, 2012. Proceedings, Part I	Jun Wang; Gary G. Yen; Marios M. Polycarpou	1st ed. 2012	Springer Berlin Heidelberg
Incremental Nonlinear Proximal Support Vector Machine	Qiuge Liu; Qing He; Zhongzhi Shi	Advances in Neural Networks - ISNN 2007: 4th International Symposium on Neural Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part III	Derong Liu; Shumin Fei; Zeng-Guang Hou; Huaguang Zhang; Changyin Sun	2007	Springer Berlin Heidelberg
A Gradual Training Algorithm of Incremental Support Vector Machine Learning	Jian-Pei Zhang; Zhong-Wei Li; Jing Yang; Yuan Li	Advances in Natural Computation: First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I	Lipo Wang; Ke Chen; Yew Soon Ong	2005	Springer Berlin Heidelberg
Adversarial Support Vector Machine Learning	Bhavani Thuraisngham; Murat Kantarcioglu; Latifur Khan	Secure Data Science: Integrating Cyber Security and Data Science	Bhavani Thuraisingham; Murat Kantarcioglu; Latifur Khan	2022	Routledge
Metric Learning: A Support Vector Approach	Nam Nguyen; Yunsong Guo	Machine Learning and Knowledge Discovery in Databases: European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II	Walter Daelemans; Katharina Morik	2008	Springer Berlin Heidelberg
Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning	Jiang Jingqing; Song Chuyi; Wu Chunguo; Marchese Maurizio; Liang Yangchun	Computational Science - ICCS 2006: 6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part I	Vassil N. Alexandrov; G. Dick van Albada; Peter M.A. Sloot; J. J. Dongarra	2006	Springer Berlin Heidelberg
Incremental Relevance Vector Machine with Kernel Learning	Dimitris Tzikas; Aristidis Likas; Nikolaos Galatsanos	Artificial Intelligence: Theories, Models and Applications: 5th Hellenic Conference on AI, SETN 2008, Syros, Greece, October 2-4, 2008, Proceedings	John Darzentas; George Vouros; Spyros Vosinakis; Argyris Arnellos	2008	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
Support Vector Machine	Shan Suthaharan	Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning	Shan Suthaharan	1st ed. 2016	Springer US
Support Vector Machine	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	Machine Learning: Algorithms and Applications	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	2016	Routledge
Support Vector Machine	Paresh Chra Deka	A Primer on Machine Learning Applications in Civil Engineering	Paresh Chandra Deka	2019	Routledge
Support Vector Machine	Kao-Tai Tsai	Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference, and Prediction	Kao-Tai Tsai	2021	Routledge
Support Vector Machine	Hwanjo Yu	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Support Vector Machine	Mathias M. Adankon; Mohamed Cheriet	Encyclopedia of Biometrics	Stan Z. Li	2009	Springer US
Support vector machine	Derek A. Pisner; David M. Schnyer	Machine Learning	Andrea Mechelli andSandra Vieira	2019	Academic Press
Support Vector Machine		Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python	Hariom Tatsat, Sahil Puri, Brad Lookabaugh	2020	O'Reilly Media
Support Vector Machine		Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale	Emmanuel Raj	2021	Packt Publishing
Support vector machine		IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools (English Edition)	Arindam Ganguly	2021	BPB Publications
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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