"Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers"

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Book	Author(s)	Year	Publisher
Learning Spark: Lightning-Fast Data Analytics	Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee	2020	O'Reilly Media
Learning Spark: lightning-fast data analytics /	Karau, Holden,; Konwinski, Andy,; Wendell, Patrick,; Zaharia, Matei,		O'Reilly Media, Inc.
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press,
Learning kernel classifiers: theory and algorithms /	Herbrich, Ralf.	[2002], ©2002.	MIT Press,
the HEALTH CARE DATA GUIDE: learning from data for improvement.	LLOYD P MURRAY SANDRA PROVOST	2022	JOHN WILEY & SONS
Plug in for life.	Keith Bill	1970	T. Nelson
High voltage: the fast track to plug in the auto industry	Jim Motavalli	2011	Rodale
Logic for Learning: Learning Comprehensible Theories from Structured Data	John W. Lloyd	2003	Springer Berlin Heidelberg
One For All, All For One	Brigitte Weninger	October 6, 2005	Minedition
Statistics: learning from data	Jay L. Devore; Roxy Peck	2014	Brooks/Cole, Cengage Learning
Statistics: Learning from Data	Roxy Peck	2014	Brooks Cole
Statistics: learning from data	Thomas H. Short; Roxy Peck	2019	Cengage Learning
Statistics: Learning from Data	Jay L. Devore; Roxy Peck	2013	Brooks/Cole
Python vs. R for Data Science	Michael Grogan	2018	O’Reilly Media, Inc.
One for all and all for one	Albert Von Tilzer		Artmusic, Inc.
All for one and one for all	Nancy E. Krulik	2000	Scholastic
Plug In	Pastor Daniel Robertson Jr.	January 1, 2003	Balm in Gilead
Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)	Luca Oneto; Nicolò Navarin; Alessandro Sperduti; Davide Anguita	1st ed. 2020	Springer International Publishing
Learning from Data Streams in Dynamic Environments	Moamar Sayed-Mouchaweh	1st ed. 2016	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers	Vu Dinh; Lam Si Tung Ho; Nguyen Viet Cuong; Duy Nguyen; Binh T. Nguyen	Theory and Applications of Models of Computation: 12th Annual Conference, TAMC 2015, Singapore, May 18-20, 2015, Proceedings	Rahul Jain; Sanjay Jain; Frank Stephan	2015	Springer International Publishing
Multiclass Classifiers		Chemometrics for Pattern Recognition	Richard G. Brereton	2009	John Wiley & Sons
Federated Learning for Non-IID Data: From Theory to Algorithm	Bojian Wei; Jian Li; Yong Liu; Weiping Wang	PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021, Proceedings, Part I	Duc Nghia Pham; Thanaruk Theeramunkong; Guido Governatori; Fenrong Liu	1st ed. 2021	Springer International Publishing
Multiclass Ensemble of One-against-all SVM Classifiers	Catarina Silva; Bernardete Ribeiro	Advances in Neural Networks – ISNN 2016: 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings	Long Cheng; Qingshan Liu; Andrey Ronzhin	1st ed. 2016	Springer International Publishing
Classifiers in Multiclass Classification		Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition	Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali	2021	Packt Publishing
Correction to: Federated Learning for Non-IID Data: From Theory to Algorithm	Bojian Wei; Jian Li; Yong Liu; Weiping Wang	PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021, Proceedings, Part I	Duc Nghia Pham; Thanaruk Theeramunkong; Guido Governatori; Fenrong Liu	1st ed. 2021	Springer International Publishing
Dual Adversarial Federated Learning on Non-IID Data	Tao Zhang; Shaojing Yang; Anxiao Song; Guangxia Li; Xuewen Dong	Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part III	Gerard Memmi; Baijian Yang; Linghe Kong; Tianwei Zhang; Meikang Qiu	1st ed. 2022	Springer International Publishing
Inverse Distance Aggregation for Federated Learning with Non-IID Data	Yousef Yeganeh; Azade Farshad; Nassir Navab; Shadi Albarqouni	Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings	Shadi Albarqouni; Spyridon Bakas; Konstantinos Kamnitsas; M. Jorge Cardoso; Bennett Landman; Wenqi Li; Fausto Milletari; Nicola Rieke; Holger Roth; Daguang Xu; Ziyue Xu	1st ed. 2020	Springer International Publishing
Learning Classifiers from Semantically Heterogeneous Data	Doina Caragea; Jyotishman Pathak; Vasant G. Honavar	On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE: OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2004, Agia Napa, Cyprus, October 25-29, 2004. Proceedings. Part II	Zahir Tari	2004	Springer Berlin Heidelberg
Learning Classifiers from		Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends	Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero, Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero	2009	Information Science Reference
Local Data Characteristics in Learning Classifiers from Imbalanced Data	Jerzy Błaszczyński; Jerzy Stefanowski	Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek Żurada	Adam E Gawęda; Janusz Kacprzyk; Leszek Rutkowski; Gary G. Yen	1st ed. 2018	Springer International Publishing
Ensemble Classifiers for Multiclass MicroRNA Classification	Luise Odenthal; Jens Allmer; Malik Yousef	miRNomics: MicroRNA Biology and Computational Analysis	Jens Allmer; Malik Yousef	2nd ed. 2022	Springer US
A Fast MBO Scheme for Multiclass Data Classification	Matt Jacobs	Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings	François Lauze; Yiqiu Dong; Anders Bjorholm Dahl	1st ed. 2017	Springer International Publishing
One-vs-all		Machine Learning Algorithms	Giuseppe Bonaccorso	2018	Packt Publishing
Incremental Learning and Forgetting in One-Class Classifiers for Data Streams	Bartosz Krawczyk; Michał Woźniak	Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013	Robert Burduk; Konrad Jackowski; Marek Kurzynski; Michał Wozniak; Andrzej Zolnierek	2013	Springer International Publishing
Hybrid vs Multiclass		Player's Handbook 3: Dungeons & Dragons Core Rulebook (4th Edition D&d)	Mike Mearls, Rob Heinsoo, Robert J. Schwalb	2010	Wizards of the Coast
211 Extensions to Non-iid Data		Frontiers in statistics: dedicated to Peter John Bickel in honor of his 65th birthday	Hira L Koul, Jianqing Fan	2006	Imperial College Press
1133 Comparing binary classifiers to all-in-one classifiers		Conversational AI: Chatbots that work	Andrew Freed	2021	Manning Publications
III1a Exponential rates for iid processes		The Ergodic Theory of Discrete Sample Paths	Paul C. Shields	1996	American Mathematical Society
The Non-IID Case		Order Statistics, Third Edition (Online Version)	H. A. David	2003	John Wiley & Sons
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