A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods PDF full book. Access full book title A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods by Alexander Statnikov. Download full books in PDF and EPUB format.
Author: Alexander Statnikov
Publisher: World Scientific
ISBN: 9814324388
Category : Computers
Languages : en
Pages : 200
Get Book Here
Book Description
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
ISBN: 9814324388
Category : Computers
Languages : en
Pages : 200
Get Book Here
Book Description
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: 9813107995
Category : Science
Languages : en
Pages : 200
Get Book Here
Book Description
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 Statnikov
Publisher: World Scientific Publishing Company
ISBN: 9814518506
Category : Science
Languages : en
Pages : 210
Get Book Here
Book Description
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: 3031393554
Category :
Languages : en
Pages : 824
Get Book Here
Book Description
Author: Connie W. Delaney
Publisher: Springer
ISBN: 3319533002
Category : Medical
Languages : en
Pages : 504
Get Book Here
Book Description
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: Harry G. Perros
Publisher: CRC Press
ISBN: 1000337820
Category : Business & Economics
Languages : en
Pages : 373
Get Book Here
Book Description
This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques. The techniques presented in An Introduction to IoT Analytics come from the areas of machine learning, statistics, and operations research. Machine learning techniques are described that can be used to analyze IoT data generated from sensors for clustering, classification, and regression. The statistical techniques described can be used to carry out regression and forecasting of IoT sensor data and dimensionality reduction of data sets. Operations research is concerned with the performance of an IoT system by constructing a model of the system under study and then carrying out a what-if analysis. The book also describes simulation techniques. Key Features IoT analytics is not just machine learning but also involves other tools, such as forecasting and simulation techniques. Many diagrams and examples are given throughout the book to fully explain the material presented. Each chapter concludes with a project designed to help readers better understand the techniques described. The material in this book has been class tested over several semesters. Practice exercises are included with solutions provided online at www.routledge.com/9780367686314 Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modeling of computer and communication systems.
Author: Alan F. Schatzberg, M.D.
Publisher: American Psychiatric Pub
ISBN: 1615374353
Category : Medical
Languages : en
Pages : 2218
Get Book Here
Book Description
Author: Piotr Witczak
Publisher: MDPI
ISBN: 3036510486
Category : Technology & Engineering
Languages : en
Pages : 236
Get Book Here
Book Description
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
Author: Robert Kabacoff
Publisher: Simon and Schuster
ISBN: 1617296058
Category : Computers
Languages : en
Pages : 654
Get Book Here
Book Description
'R in Action' presents both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features.
Author: Marin A. Pilloud
Publisher: Academic Press
ISBN: 0128019719
Category : Law
Languages : en
Pages : 520
Get Book Here
Book Description
Biological Distance Analysis: Forensic and Bioarchaeological Perspectives synthesizes research within the realm of biological distance analysis, highlighting current work within the field and discussing future directions. The book is divided into three main sections. The first section clearly outlines datasets and methods within biological distance analysis, beginning with a brief history of the field and how it has progressed to its current state. The second section focuses on approaches using the individual within a forensic context, including ancestry estimation and case studies. The final section concentrates on population-based bioarchaeological approaches, providing key techniques and examples from archaeological samples. The volume also includes an appendix with additional resources available to those interested in biological distance analyses. - Defines datasets and how they are used within biodistance analysis - Applies methodology to individual and population studies - Bridges the sub-fields of forensic anthropology and bioarchaeology - Highlights current research and future directions of biological distance analysis - Identifies statistical programs and datasets for use in biodistance analysis - Contains cases studies and thorough index for those interested in biological distance analyses
