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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer Berlin Heidelberg
About this chapter
Cite this chapter
Marques de Sá, J.P., Silva, L.M.A., Santos, J.M.F., Alexandre, L.A. (2013). Introduction. In: Minimum Error Entropy Classification. Studies in Computational Intelligence, vol 420. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29029-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-29029-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29028-2
Online ISBN: 978-3-642-29029-9
eBook Packages: EngineeringEngineering (R0)