Kernel Methods For Pattern Analysis

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Kernel Methods For Pattern Analysis

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Author : John Shawe-Taylor
language : en
Publisher: Cambridge University Press
Release Date : 2004-06-28

Kernel Methods For Pattern Analysis written by John Shawe-Taylor and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-28 with Computers categories.

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Kernel Methods In Computational Biology

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Author : Bernhard Schölkopf
language : en
Publisher: MIT Press
Release Date : 2004

Kernel Methods In Computational Biology written by Bernhard Schölkopf and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.

A detailed overview of current research in kernel methods and their application to computational biology.

Linear Algebra And Optimization For Machine Learning

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Author : Charu C. Aggarwal
language : en
Publisher: Springer Nature
Release Date : 2020-05-13

Linear Algebra And Optimization For Machine Learning written by Charu C. Aggarwal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-13 with Computers categories.

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows: 1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis. Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts. 2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the accuracy of regression and classification models. The “parent problem” of optimization-centric machine learning is least-squares regression. Interestingly, this problem arises in both linear algebra and optimization, and is one of the key connecting problems of the two fields. Least-squares regression is also the starting point for support vector machines, logistic regression, and recommender systems. Furthermore, the methods for dimensionality reduction and matrix factorization also require the development of optimization methods. A general view of optimization in computational graphs is discussed together with its applications to back propagation in neural networks. A frequent challenge faced by beginners in machine learning is the extensive background required in linear algebra and optimization. One problem is that the existing linear algebra and optimization courses are not specific to machine learning; therefore, one would typically have to complete more course material than is necessary to pick up machine learning. Furthermore, certain types of ideas and tricks from optimization and linear algebra recur more frequently in machine learning than other application-centric settings. Therefore, there is significant value in developing a view of linear algebra and optimization that is better suited to the specific perspective of machine learning.

An Introduction To Support Vector Machines And Other Kernel Based Learning Methods

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Author : Nello Cristianini
language : en
Publisher: Cambridge University Press
Release Date : 2000-03-23

An Introduction To Support Vector Machines And Other Kernel Based Learning Methods written by Nello Cristianini and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-23 with Computers categories.

This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.

Kernel Methods For Pattern Analysis

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Author :
language : en
Publisher:
Release Date : 2004

Kernel Methods For Pattern Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Algorithms categories.

The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be implemented, suitable for standard pattern discovery problems.

Learning With Kernels

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Author : Bernhard Schölkopf
language : en
Publisher: MIT Press
Release Date : 2002

Learning With Kernels written by Bernhard Schölkopf and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.

A comprehensive introduction to Support Vector Machines and related kernel methods.

Kernel Methods And Machine Learning

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Author : S. Y. Kung
language : en
Publisher: Cambridge University Press
Release Date : 2014-04-17

Kernel Methods And Machine Learning written by S. Y. Kung and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-17 with Computers categories.

Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.

Text Mining

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Author : Ashok N. Srivastava
language : en
Publisher: CRC Press
Release Date : 2009-06-15

Text Mining written by Ashok N. Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-15 with Business & Economics categories.

The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify te

Pattern Recognition And Big Data

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Author : Sankar Kumar Pal
language : en
Publisher: World Scientific
Release Date : 2016-12-15

Pattern Recognition And Big Data written by Sankar Kumar Pal and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-15 with Computers categories.

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.

Kernel Methods In Bioengineering Signal And Image Processing

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Author : Gustavo Camps-Valls
language : en
Publisher: IGI Global
Release Date : 2007-01-01

Kernel Methods In Bioengineering Signal And Image Processing written by Gustavo Camps-Valls and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with Technology & Engineering categories.

"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an introductory chapter providing a framework of kernel methods; the others address Bioegineering, Signal Processing and Communications and Image Processing"--Provided by publisher.