DocumentCode :
3352161
Title :
A survey of classification learning algorithm
Author :
Fan-Zi, Zeng ; Zheng-Ding, Qui
Author_Institution :
Inst. of Inf. Sci., Beijing Jiao Tong Univ., China
Volume :
2
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
1500
Abstract :
Classification is one of the most active research and application areas. Since Fisher´s famous discriminant analysis a plethora of algorithms for classification have been developed. This paper provides the survey of some of the important classification algorithms, outlines their advantages and disadvantages, analyzes the challenges encountered in practice nowadays and gives the promising solution to challenges.
Keywords :
Bayes methods; learning (artificial intelligence); pattern classification; Bayes classifier; Fisher famous discriminant analysis; classification learning algorithm; hypothesis space; Bridges; Classification algorithms; Concrete; Convergence; Decision trees; Kernel; Probability; TV; Tiles; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1441612
Filename :
1441612
Link To Document :
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