Advertisement

Introduction

  • Joaquim P. Marques de Sá
  • Luís M. A. Silva
  • Jorge M. F. Santos
  • Luís A. Alexandre
Part of the Studies in Computational Intelligence book series (SCI, volume 420)

Data Classification

The advent of automatic data classification can be traced back to the early sixties, namely to a software tool for discriminating abnormal from normal electrocardiograms which was actually in routine use for some time [172]. Two important resources were then available, a theoretical one — Bayesian decision theory —, and a practical one — computational facilities, albeit extremely modest by present day standards.

Keywords

Loss Function Class Label Multilayer Perceptrons Bayesian Decision Theory Risk Functional 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Berlin Heidelberg 2013

Authors and Affiliations

  • Joaquim P. Marques de Sá
    • 1
  • Luís M. A. Silva
    • 2
  • Jorge M. F. Santos
    • 3
  • Luís A. Alexandre
    • 4
  1. 1.Divisão de Sinal e Imagem Campus FEUPINEB-Instituto de Engenharia BiomédicaPortoPortugal
  2. 2.Dept. of MathematicsUniv. de AveiroAveiroPortugal
  3. 3.Dept. of MathematicsISEP, School of Engineering Polytechnic of PortoPortoPortugal
  4. 4.Dept. of InformaticsUniv. Beira Interior IT - Instituto de TelecomunicaçõesCovilhãPortugal

Personalised recommendations