Title :
Two-phase PRISM learning algorithms
Author :
Hong, Tzung-Pei ; Tseng, Shian-Shyong
Author_Institution :
Dept. of Inf. Manage., Kaoshiung Polytech. Inst., Taiwan
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.633279
