Foundations of Computational Intelligence: Function Approximation and Classification

by ; ;
Format: Hardcover
Pub. Date: 2009-08-15
Publisher(s): Springer Verlag
List Price: $269.00

Rent Textbook

Select for Price
There was a problem. Please try again later.

New Textbook

We're Sorry
Sold Out

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

How Marketplace Works:

  • This item is offered by an independent seller and not shipped from our warehouse
  • Item details like edition and cover design may differ from our description; see seller's comments before ordering.
  • Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
  • Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
  • Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.

Summary

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.

Table of Contents

Function Approximation and Classification: Theoretical Foundations
Feature Selection for Partial Least Square Based Dimension Reductionp. 3
Classification by the Use of Decomposition of Correlation Integralp. 39
Investigating Neighborhood Graphs for Inducing Density Based Clustersp. 57
Some Issues on Extensions of Information and Dynamic Information Systemsp. 79
A Probabilistic Approach to the Evaluation and Combination of Preferencesp. 107
Use of the q-Gaussian Function in Radial Basis Function Networksp. 127
Function Approximation and Classification: Success Stories and Real World Applications
Novel Biomarkers for Prostate Cancer Revealed by (a,b)-k-Feature Setsp. 149
A Tutorial on Multi-label Classification Techniquesp. 177
Computational Intelligence in Biomedical Image Processingp. 197
A Comparative Study of Three Graph Edit Distance Algorithmsp. 223
Classification of Complex Moleculesp. 243
Intelligent Finite Element Method and Application to Simulation of Behavior of Soils under Cyclic Loadingp. 317
An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Predictionp. 339
Genetic Selection Algorithm and Cloning for Data Mining with GMDH Methodp. 359
Author Indexp. 377
Table of Contents provided by Ingram. All Rights Reserved.

An electronic version of this book is available through VitalSource.

This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.

By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.

Digital License

You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.

More details can be found here.

A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.

Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.

Please view the compatibility matrix prior to purchase.