DocumentCode
1834232
Title
Two-phase PRISM learning algorithms
Author
Hong, Tzung-Pei ; Tseng, Shian-Shyong
Author_Institution
Dept. of Inf. Manage., Kaoshiung Polytech. Inst., Taiwan
Volume
4
fYear
1997
fDate
12-15 Oct 1997
Firstpage
3895
Abstract
The idea of two phase learning is proposed for effectively solving the learning problems in which training instances come in a two stage way. Several two phase learning algorithms based on the learning method PRISM (J. Cendrowska, 1987) are also proposed for inducing rules from training instances. These alternatives form a spectrum, showing achievement of the requirement of PRISM being heavily dependent on the spent computational cost in Phase 2
Keywords
computational complexity; inference mechanisms; learning (artificial intelligence); Phase 2; learning problems; rule induction; spent computational cost; training instances; two phase learning; two-phase PRISM learning algorithms; Computational efficiency; Computational intelligence; Information management; Information science; Knowledge acquisition; Knowledge based systems; Learning systems; Machine learning; Management training; Terminology;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1062-922X
Print_ISBN
0-7803-4053-1
Type
conf
DOI
10.1109/ICSMC.1997.633279
Filename
633279
Link To Document