Title :
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.
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258430
