Abstract: This paper presents the basic concepts of building a decision tree classifier. It discusses two methods for designing decision trees as well as the advantages and disadvantages of each method.
Authors: Philip H. Swain, and Hans Hauska
Tags: decision trees, classifier, multistage classifier, machine learning, feature selection, learning algorithm, classifier design
Length: 5
Submitted By: Nadyac
Date Submitted: Aug 03, 2014
Favorited: 0
Times Read: 0
