Gentle Introduction To Support Vector Machines In Biomedicine A

Author : Alexander Statnikov
Publisher : World Scientific
ISBN 13 : 9814324388
Total Pages : 200 pages
Book Rating : 4.80/5 ( download)

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Download or read book A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods written by Alexander Statnikov and published by World Scientific. This book was released on 2011 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and cases studies (Volume 2).The proposed book follows the approach of ?programmed learning? whereby material is presented in short sections called ?frames?. Each frame consists of a very small amount of information to be learned, a multiple choice quiz, and answers to the quiz. The reader can proceed to the next frame only after verifying the correct answers to the current frame.

Author : Alexander Statnikov
Publisher : World Scientific Publishing Company
ISBN 13 : 9814518506
Total Pages : 212 pages
Book Rating : 4.05/5 ( download)

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Download or read book A Gentle Introduction to Support Vector Machines in Biomedicine written by Alexander Statnikov and published by World Scientific Publishing Company. This book was released on 2013-03-21 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).

Author : Alexander Romanovich Statnikov
Publisher :
ISBN 13 : 9789814335140
Total Pages : 200 pages
Book Rating : 4.42/5 ( download)

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Download or read book Gentle Introduction To Support Vector Machines In Biomedicine, A - written by Alexander Romanovich Statnikov and published by . This book was released on 2011 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Alexander Statnikov
Publisher :
ISBN 13 : 9789814335157
Total Pages : 210 pages
Book Rating : 4.50/5 ( download)

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Download or read book Gentle Introduction To Support Vector Machines In Biomedicine, A - written by Alexander Statnikov and published by . This book was released on 2012 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Alexander Statnikov
Publisher : World Scientific Publishing Company
ISBN 13 : 9813107995
Total Pages : 200 pages
Book Rating : 4.91/5 ( download)

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Download or read book A Gentle Introduction to Support Vector Machines in Biomedicine written by Alexander Statnikov and published by World Scientific Publishing Company. This book was released on 2011-02-22 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).

Author : Gyorgy J. Simon
Publisher : Springer Nature
ISBN 13 : 3031393554
Total Pages : 824 pages
Book Rating : 4.56/5 ( download)

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Download or read book Artificial Intelligence and Machine Learning in Health Care and Medical Sciences written by Gyorgy J. Simon and published by Springer Nature. This book was released on with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Connie W. Delaney
Publisher : Springer
ISBN 13 : 3319533002
Total Pages : 488 pages
Book Rating : 4.01/5 ( download)

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Download or read book Big Data-Enabled Nursing written by Connie W. Delaney and published by Springer. This book was released on 2017-11-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.

Author : Lipo Wang
Publisher : Springer Science & Business Media
ISBN 13 : 9783540243885
Total Pages : 456 pages
Book Rating : 4.87/5 ( download)

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Download or read book Support Vector Machines: Theory and Applications written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2005-06-21 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields.

Author : Yunqian Ma
Publisher : Springer Science & Business Media
ISBN 13 : 3319023004
Total Pages : 306 pages
Book Rating : 4.07/5 ( download)

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Download or read book Support Vector Machines Applications written by Yunqian Ma and published by Springer Science & Business Media. This book was released on 2014-02-12 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications.

Author : Nello Cristianini
Publisher : Cambridge University Press
ISBN 13 : 1139643630
Total Pages : 208 pages
Book Rating : 4.34/5 ( download)

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Download or read book An Introduction to Support Vector Machines and Other Kernel-based Learning Methods written by Nello Cristianini and published by Cambridge University Press. This book was released on 2000-03-23 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software.