An Overview of Pattern Classification Methodologies

Author

Zhai, Jun-hai ; Zhang, Su-fang ; Wang, Xi-Zhao

Author_Institution

Dept. of Math. & Comput. Sci., Hebei Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

3222

Lastpage

3227

Abstract

Pattern classification plays an important role in artificial intelligence and computer science, which is still a challenging problem. With the rapid development of computing techniques, lots of classification algorithms (classifier) have been published and each approach has its assumptions, advantages, and limitations. This paper presents an overview of various algorithms which are classified into different category. The object of this paper is to summarize and compare some of the well-known methods used in many applications

Keywords

decision trees; neural nets; pattern classification; support vector machines; Bayes classification; decision trees; neural network; pattern classification algorithms; support vector machine; Application software; Artificial intelligence; Cities and towns; Classification algorithms; Computer science; Cybernetics; Electronic mail; Feature extraction; Machine learning; Mathematics; Pattern classification; Pattern recognition; Bayes classification; Decision trees; Neural network; Pattern; Pattern classification; Support Vector Machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258430

Filename

4028622