• Complain
LitArk » Books » Science

Lior Rokach - Ensemble Learning: Pattern Classification Using Ensemble Methods

Here you can read online Lior Rokach - Ensemble Learning: Pattern Classification Using Ensemble Methods full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. City: Singapore, year: 2019, publisher: World Scientific Publishing, genre: Science. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Lior Rokach Ensemble Learning: Pattern Classification Using Ensemble Methods
  • Book:
    Ensemble Learning: Pattern Classification Using Ensemble Methods
  • Author:
  • Publisher:
    World Scientific Publishing
  • Genre:
  • Year:
    2019
  • City:
    Singapore
  • Rating:
    4 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 80
    • 1
    • 2
    • 3
    • 4
    • 5

Ensemble Learning: Pattern Classification Using Ensemble Methods: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Ensemble Learning: Pattern Classification Using Ensemble Methods" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.

Lior Rokach: author's other books


Who wrote Ensemble Learning: Pattern Classification Using Ensemble Methods? Find out the surname, the name of the author of the book and a list of all author's works by series.


Lior Rokach - Ensemble Learning: Pattern Classification Using Ensemble Methods
Ensemble Learning: Pattern Classification Using Ensemble Methods
Lior Rokach
Ensemble Learning: Pattern Classification Using Ensemble Methods

Ensemble Learning: Pattern Classification Using Ensemble Methods — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Ensemble Learning: Pattern Classification Using Ensemble Methods" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

↓
↑
Reset

Interval:

↓
↑

Bookmark:

Make
1234567...149
Contents
Pagebreaks of the print version

ENSEMBLE LEARNING Pattern Classification Using Ensemble Methods Second - photo 1

ENSEMBLE LEARNING

Pattern Classification Using Ensemble Methods

Second Edition

ISSN: 1793-0839

Editors: H. Bunke(University of Bern, Switzerland)
P. S. P. Wang(Northeastern University, USA)
Joseph Llads(Autonomous University of Barcelona, Spain)

This book series addresses all aspects of machine perception and artificial intelligence. Of particular interest are the areas of pattern recognition, image processing, computer vision, natural language understanding, speech processing, neural computing, machine learning, hardware architectures, software tools, and others. The series includes publications of various types, for example, textbooks, monographs, edited volumes, conference and workshop proceedings, PhD theses with significant impact, and special issues of the International Journal of Pattern Recognition and Artificial Intelligence.

Published

Vol. 85: Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)
by L. Rokach

Vol. 84: Hybrid Metaheuristics: Research and Applications
by Siddhartha Bhattacharyya

Vol. 83: Data Mining in Time Series and Streaming Databases
edited by Mark Last, Horst Bunke and Abraham Kandel

Vol. 82: Document Analysis and Text Recognition: Benchmarking State-of-the-Art Systems
edited by Volker Mrgner, Umapada Pal and Apostolos Antonacopoulos

Vol. 81: Data Mining with Decision Trees: Theory and Applications (Second Edition)
by L. Rokach and O. Maimon

Vol. 80: Multimodal Interactive Handwritten Text Transcription
by V. Romero, A. H. Toselli and E. Vidal

Vol. 79: Document Analysis and Recognition with Wavelet and Fractal Theories
by Y. Y. Tang

Vol. 78: Integration of Swarm Intelligence and Artificial Neural Network
edited by S. Dehuri, S. Ghosh and S.-B. Cho

Vol. 77: Graph Classification and Clustering Based on Vector Space Embedding
by K. Riesen and H. Bunke

Vol. 76: Automated Database Applications Testing: Specification Representation for Automated Reasoning
by R. F. Mikhail, D. Berndt and A. Kandel

The complete list of the published volumes in the series can be found at
http://www.worldscientific.com/series/smpai

Series in Machine Perception and Artificial Intelligence Vol. 85

ENSEMBLE LEARNING

Pattern Classification Using Ensemble Methods

Second Edition

Lior Rokach

Ben-Gurion University of the Negev, Israel

Published by World Scientific Publishing Co Pte Ltd 5 Toh Tuck Link - photo 2

Published by

World Scientific Publishing Co. Pte. Ltd.

5 Toh Tuck Link, Singapore 596224

USA office:27 Warren Street, Suite 401-402, Hackensack, NJ 07601

Next page
1234567...149
Light

Font size:

↓
↑
Reset

Interval:

↓
↑

Bookmark:

Make

Similar books «Ensemble Learning: Pattern Classification Using Ensemble Methods»

Look at similar books to Ensemble Learning: Pattern Classification Using Ensemble Methods. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


No cover
No cover
George Kyriakides
Hands-On Ensemble Learning with Python
Heiko Ludwig - Federated Learning: A Comprehensive Overview of Methods and Applications
Federated Learning: A Comprehensive Overview of Methods and Applications
Heiko Ludwig
Federated Learning: A Comprehensive Overview of Methods and Applications
Sharad Saxena - Tree-Based Machine Learning Methods in SAS Viya
Tree-Based Machine Learning Methods in SAS Viya
Sharad Saxena
Tree-Based Machine Learning Methods in SAS Viya
Babak Zolghadr-Asli - A Handbook on Multi-Attribute Decision-Making Methods
A Handbook on Multi-Attribute Decision-Making Methods
Babak Zolghadr-Asli
A Handbook on Multi-Attribute Decision-Making Methods
Luis Serrano - Grokking Machine Learning
Grokking Machine Learning
Luis Serrano
Grokking Machine Learning
No cover
No cover
E. R. Davies (editor)
Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition)
A. K. Tyagi - Handbook on Synthesis Strategies for Advanced Materials: Volume-III: Materials Specific Synthesis Strategies
Handbook on Synthesis Strategies for Advanced Materials: Volume-III: Materials Specific Synthesis Strategies
A. K. Tyagi
Handbook on Synthesis Strategies for Advanced Materials: Volume-III: Materials Specific Synthesis Strategies
No cover
No cover
Sarkar Dipayan.
Ensemble Machine Learning Cookbook
No cover
No cover
Vitoriano Ruas
An Introduction to Numerical Methods for Partial Differential Equations
Bowles - Machine Learning in Python: Essential Techniques for Predictive Analysis
Machine Learning in Python: Essential Techniques for Predictive Analysis
Bowles
Machine Learning in Python: Essential Techniques for Predictive Analysis
Prabhanjan Narayanachar Tattar - Hands-On Ensemble Learning with R: A beginners guide to combining the power of machine learning algorithms using ensemble techniques (English Edition)
Hands-On Ensemble Learning with R: A beginners guide to combining the power of machine learning algorithms using ensemble techniques (English Edition)
Prabhanjan Narayanachar Tattar
Hands-On Ensemble Learning with R: A beginners guide to combining the power of machine learning algorithms using ensemble techniques (English Edition)
No cover
No cover
Alan Fontaine
Mastering Predictive Analytics with scikit-learn and TensorFlow
Reviews about «Ensemble Learning: Pattern Classification Using Ensemble Methods»

Discussion, reviews of the book Ensemble Learning: Pattern Classification Using Ensemble Methods and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.