An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

This ebook list for those who looking for to read An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

  • Author: Nello Cristianini,John Shawe-Taylor,Department of Computer Science Royal Holloway John Shawe-Taylor
  • Publisher: Cambridge University Press
  • ISBN: 9780521780193
  • Category: Computers
  • Page: 189
  • View: 8886
DOWNLOAD NOW »
A comprehensive introduction to this recent method for machine learning and data mining.

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

This ebook list for those who looking for to read An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

  • Author: Nello Cristianini,John Shawe-Taylor,Department of Computer Science Royal Holloway John Shawe-Taylor
  • Publisher: Cambridge University Press
  • ISBN: 9780521780193
  • Category: Computers
  • Page: 189
  • View: 7484
DOWNLOAD NOW »
A comprehensive introduction to this recent method for machine learning and data mining.

Support Vector Machines: Theory and Applications

This ebook list for those who looking for to read Support Vector Machines: Theory and Applications, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

Support Vector Machines: Theory and Applications

Support Vector Machines: Theory and Applications

  • Author: Lipo Wang
  • Publisher: Springer Science & Business Media
  • ISBN: 9783540243885
  • Category: Computers
  • Page: 431
  • View: 1959
DOWNLOAD NOW »
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.

A Gentle Introduction to Support Vector Machines in Biomedicine

This ebook list for those who looking for to read A Gentle Introduction to Support Vector Machines in Biomedicine, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

A Gentle Introduction to Support Vector Machines in Biomedicine

A Gentle Introduction to Support Vector Machines in Biomedicine

Volume 1: Theory and Methods

  • Author: Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin,Isabelle Guyon
  • Publisher: World Scientific Publishing Company
  • ISBN: 9813107995
  • Category: Computers
  • Page: 200
  • View: 8080
DOWNLOAD NOW »
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).

Machine Learning with SVM and Other Kernel Methods

This ebook list for those who looking for to read Machine Learning with SVM and Other Kernel Methods, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

Machine Learning with SVM and Other Kernel Methods

Machine Learning with SVM and Other Kernel Methods

  • Author: K.P. Soman,R. LOGANATHAN,V. AJAY
  • Publisher: PHI Learning Pvt. Ltd.
  • ISBN: 8120334353
  • Category: Computers
  • Page: 486
  • View: 3644
DOWNLOAD NOW »
Support vector machines (SVMs) represent a breakthrough in the theory of learning systems. It is a new generation of learning algorithms based on recent advances in statistical learning theory. Designed for the undergraduate students of computer science and engineering, this book provides a comprehensive introduction to the state-of-the-art algorithm and techniques in this field. It covers most of the well known algorithms supplemented with code and data. One Class, Multiclass and hierarchical SVMs are included which will help the students to solve any pattern classification problems with ease and that too in Excel. KEY FEATURES  Extensive coverage of Lagrangian duality and iterative methods for optimization  Separate chapters on kernel based spectral clustering, text mining, and other applications in computational linguistics and speech processing  A chapter on latest sequential minimization algorithms and its modifications to do online learning  Step-by-step method of solving the SVM based classification problem in Excel.  Kernel versions of PCA, CCA and ICA The CD accompanying the book includes animations on solving SVM training problem in Microsoft EXCEL and by using SVMLight software . In addition, Matlab codes are given for all the formulations of SVM along with the data sets mentioned in the exercise section of each chapter.

Learning with Kernels

This ebook list for those who looking for to read Learning with Kernels, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

Learning with Kernels

Learning with Kernels

Support Vector Machines, Regularization, Optimization, and Beyond

  • Author: Bernhard Schölkopf,Alexander J. Smola,Managing Director of the Max Planck Institute for Biological Cybernetics in Tubingen Germany Profe Bernhard Scholkopf,Francis Bach
  • Publisher: MIT Press
  • ISBN: 9780262194754
  • Category: Computers
  • Page: 626
  • View: 9881
DOWNLOAD NOW »
This volume provides an introduction to SVMs and related kernel methods. It provides concepts necessary to enable a reader to enter the world of machine learning using theoretical kernel algorithms and to understand and apply the algorithms that have been developed over the last few years.

Data Mining Algorithms

This ebook list for those who looking for to read Data Mining Algorithms, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

Data Mining Algorithms

Data Mining Algorithms

Explained Using R

  • Author: Pawel Cichosz
  • Publisher: John Wiley & Sons
  • ISBN: 1118950801
  • Category: Mathematics
  • Page: 720
  • View: 1647
DOWNLOAD NOW »
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.

Support Vector Machines for Antenna Array Processing and Electromagnetics

This ebook list for those who looking for to read Support Vector Machines for Antenna Array Processing and Electromagnetics, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

Support Vector Machines for Antenna Array Processing and Electromagnetics

Support Vector Machines for Antenna Array Processing and Electromagnetics

  • Author: Manel Martínez-Ramón,Manel Martinez-Ramon,Christos G. Christodoulou
  • Publisher: Morgan & Claypool Publishers
  • ISBN: 159829024X
  • Category: Technology & Engineering
  • Page: 110
  • View: 7969
DOWNLOAD NOW »
Support vector machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences.

Handbook of Research on Geoinformatics

This ebook list for those who looking for to read Handbook of Research on Geoinformatics, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

Handbook of Research on Geoinformatics

Handbook of Research on Geoinformatics

  • Author: Karimi, Hassan A.
  • Publisher: IGI Global
  • ISBN: 1591409969
  • Category: Technology & Engineering
  • Page: 518
  • View: 5584
DOWNLOAD NOW »
"This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher.

Data Mining: Practical Machine Learning Tools and Techniques

This ebook list for those who looking for to read Data Mining: Practical Machine Learning Tools and Techniques, you can read or download in PDF, ePub or Mobi. May some of ebooks not available on your country and only available for those who subscribe and depend to the source of library websites.

Data Mining: Practical Machine Learning Tools and Techniques

Data Mining: Practical Machine Learning Tools and Techniques

  • Author: Ian H. Witten,Eibe Frank,Mark A. Hall
  • Publisher: Elsevier
  • ISBN: 0080890369
  • Category: Computers
  • Page: 664
  • View: 6609
DOWNLOAD NOW »
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization