Exploiting the bin-class histograms for feature selection on discrete data

In machine learning and pattern recognition tasks, the use of feature discretization techniques may have several advantages. The discretized features may hold enough information for the learning task at hand, while ignoring minor fluctuations that are irrelevant or harmful for that task. The discret...

Full description

Bibliographic Details
Main Author: J. Ferreira, Artur (author)
Other Authors: Figueiredo, Mário A. T. (author)
Format: conferenceObject
Language:eng
Published: 2016
Subjects:
Feature selection
Feature discretization
Discrete features
Bin-class histogram
Matrix norm
Supervised learning
Classification
Online Access:http://hdl.handle.net/10400.21/6075
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/6075

Internet

http://hdl.handle.net/10400.21/6075

Similar Items