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
fDate :
31 Aug.-4 Sept. 2004
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;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441612