BN.com Gift Guide

Applied Genetic Programming and Machine Learning / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $81.31
Usually ships in 1-2 business days
(Save 16%)
Other sellers (Hardcover)
  • All (4) from $81.31   
  • New (2) from $81.31   
  • Used (2) from $117.46   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$81.31
Seller since 2008

Feedback rating:

(4535)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
New Book. Shipped from UK within 4 to 14 business days. Established seller since 2000.

Ships from: Horcott Rd, Fairford, United Kingdom

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
$91.64
Seller since 2008

Feedback rating:

(17869)

Condition: New
Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.

Ships from: Westminster, MD

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Close
Sort by

Overview

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications.

Reflecting rapidly developing concepts and emerging paradigms, this book outlines how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for addressing tasks from areas such as chaotic time-series prediction, system identification, financial forecasting, classification, and data mining.

The book provides a starting point for the research of extended GP frameworks with the integration of several machine learning schemes. Drawing on empirical studies taken from fields such as system identification, finanical engineering, and bio-informatics, it demonstrates how the proposed methodology can be useful in practical inductive problem solving.

Read More Show Less

Editorial Reviews

From the Publisher
… an enjoyable read and offers new insights into a computational paradigm that helps to bridge the gap between applications of GP and ML, as well as substantial source code and GUI systems supporting this topic. … The best feature of this book is its simple presentation style, which includes both mathematics and visual graphics for the uninitiated. For these reasons, it is likely that the book will become an essential source of reference for students, practitioners and young researchers alike.
Minds & Machines, 2012

... provides readers with tools and insights to apply genetic programming (GP) to classical machine learning problems. … The most important aspect of this book is the accompanying code/software. Examples in the book are derived from these tools. This enables the reader to actively learn the material by practicing on the examples. … A graduate student interested in machine learning would find this book very useful. The accompanying software can be downloaded and the student can practice and understand a variety of machine learning problems. …It also serves well machine learning researchers who are interested in how genetic programming can be used for their problems. Hopefully, this will lead to application of GP to new machine learning problems such as reinforcement learning and active learning. ... a good practitioners guide for system designers employing machine learning to solve industrial problems.
— K. Veeramachaneni, Massachusetts Institute of Technology, in Genetic Programming and Evolvable Machines (2011), 12:179-180

Read More Show Less

Product Details

  • ISBN-13: 9781439803691
  • Publisher: CRC Press
  • Publication date: 8/26/2009
  • Edition number: 1
  • Pages: 349
  • Product dimensions: 0.61 (w) x 0.92 (h) x 2.40 (d)

Table of Contents

Introduction

Genetic Programming
Introduction to Genetic Programming
LGPC System

Numerical Approach to Genetic Programming
Introduction
Background
Numerical Problems with STROGANOFF
Classification Problems Solved by STROGANOFF
Temporal Problems Solved by STROGANOFF
Financial Applications by STROGANOFF
Inductive Genetic Programming
Discussion
Summary

Classification by Ensemble of Genetic Programming Rules
Background
Various Classifiers
Various Feature Selection Methods
Classification by Genetic Programming
Various Ensemble Techniques
Applying MVGPC to Real-world Problems
Extension of MVGPC: Various Performance Improvement Techniques
Summary

Probabilistic Program Evolution
Background
General EDA
Prototype Tree-based Methods
PCFG-based Methods
Other Related Methods
Summary
Appendix: GUI Systems and Source Codes
References
Index

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)