"Learning to classify text using support vector machines"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
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
Learning with Support Vector Machines	Colin Campbell; Yiming Ying		Springer International Publishing
Learning with support vector machines	Colin Campbell	2011	Morgan & Claypool
Support Vector Machines	Ingo Steinwart; Andreas Christmann	2008	Springer New York
Support Vector Machines Applications	Yunqian Ma; Guodong Guo	2014	Springer International Publishing
Least squares support vector machines /	Suykens, Johan A. K.	2002.	World Scientific,
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond	Bernhard Schölkopf; Alexander J. Smola	2001	MIT Press
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond	Bernhard Schölkopf; Alexander J. Smola	2001	MIT Press,
Learning with kernels: support vector machines, regularization, optimization, and beyond /	Schölkopf, Bernhard.; Smola, Alexander J.	[2002], ©2002.	MIT Press,
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 for Pattern Classification	Shigeo Abe	2005	Springer London
Rule Extraction from Support Vector Machines	Joachim Diederich	2008	Springer Berlin Heidelberg
Support Vector Machines: Theory and Applications	Lipo Wang	2005	Springer Berlin Heidelberg
Knowledge Discovery with Support Vector Machines	Lutz Hamel	2009	John Wiley & Sons
Support Vector Machines for Pattern Classification	Shigeo Abe	2nd ed. 2010	Springer London
Support-vector Machines: History and Applications	Pooja Saigal (editor)	2021	Nova Science Pub Inc
Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks	M.N. Murty; Rashmi Raghava	1st ed. 2016	Springer International Publishing
Regularization, Optimization, Kernels, and Support Vector Machines	Johan A.K. Suykens; Marco Signoretto; Andreas Argyriou	2014	Routledge
Twin Support Vector Machines: Models, Extensions and Applications	Jayadeva; Reshma Khemchandani; Suresh Chandra	1st ed. 2017	Springer International Publishing
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Learning to Classify Text Complexity for the Italian Language Using Support Vector Machines	Valentino Santucci; Luciana Forti; Filippo Santarelli; Stefania Spina; Alfredo Milani	Computational Science and Its Applications – ICCSA 2020: 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part II	Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Chiara Garau; Ivan Blečić; David Taniar; Bernady O. Apduhan; Ana Maria A.C. Rocha; Eufemia Tarantino; Carmelo Maria Torre; Yeliz Karaca	1st ed. 2020	Springer International Publishing
Using Support Vector Machines		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Using Support Vector Machines		MATLAB Statistics and Machine Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Using support vector machines		40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python	Imran Ahmad	2020	Packt Publishing
Using support vector machines		40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python	I'm ran Ahmad	2022	Packt Publishing, Limited
Using support vector machines		Arduino Computer Vision Programming: Design and develop real-world computer vision applications with the powerful combination of OpenCV and Arduino	Ozen Ozkaya, Giray Yillikci	2015	Packt Publishing Limited
Supervised Learning—Classification Using Support Vector Machines		Python Machine Learning	Wei-Meng Lee	2019	John Wiley & Sons
Learning to classify text		Natural language processing with Python	Edward Loper, Steven Bird, Ewan Klein	2009	O'Reilly Media, Inc.
Classification using support vector machines		Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems	Amita Kapoor	2019	Packt Publishing
Support Vector Machines Using C#		MSDN Magazine		2019
Modeling using support vector machines		R - Unleash Machine Learning Techniques (A course in three modules)	Raghav Bali, Dipanjan Sarkar, Brett Lantz, Cory Lesmeister	2016	Packt
Learning of Boolean Functions Using Support Vector Machines	Ken Sadohara	Algorithmic Learning Theory: 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings.	Naoki Abe; Roni Khardon; Thomas Zeugmann	2001	Springer Berlin Heidelberg
Support Vector Machines	Li Li	Selected Applications of Convex Optimization	Li Li	2015	Springer Berlin Heidelberg
Support Vector Machines	David L. Olson; Dursun Delen	Advanced Data Mining Techniques	David L. Olson; Dursun Delen	2008	Springer Berlin Heidelberg
Support Vector Machines	Xinhua Zhang	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Support Vector Machines	Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani	An Introduction to Statistical Learning: with Applications in R	Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani	2013	Springer New York
Support Vector Machines	Richard A. Berk	Statistical Learning from a Regression Perspective	Richard A. Berk	2nd ed. 2016	Springer International Publishing
Support Vector Machines	Graham Williams	Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery	Graham Williams	2011	Springer New York
Support Vector Machines	Mahesh Pal; Pakorn Watanachaturaporn	Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data	Pramod K. Varshney; Manoj K. Arora	2004	Springer Berlin Heidelberg
Support Vector Machines	Shigeo Abe	Pattern Classification: Neuro-fuzzy Methods and Their Comparison	Shigeo Abe	2001	Springer London
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Learning to classify text using support vector machines" - similar Books and Chapters