Title :
A parallel concept learning algorithm based upon version space strategy
Author :
Hong, T.P. ; Tseng, S.S.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
An attempt is made to apply the technique of parallel processing to concept learning. A parallel model suited for parallel learning and a parallel learning algorithm obtained from this model by applying the strategy of version space are proposed. The time complexity of the algorithm is compared with that of the sequential learning algorithm, and a satisfactory result is obtained-with N/2 processors, most learning problems can be processed in O(log N) time. The authors also study the influence of the arrangement of the training instances on the performance of their parallel algorithm. The final result shows that when the number of training instances is large, learning in parallel is worthwhile
Keywords :
artificial intelligence; learning systems; parallel algorithms; parallel concept learning algorithm; parallel processing; sequential learning algorithm; time complexity; version space; version space strategy; Computer science; Concurrent computing; Costs; Councils; Information science; Learning systems; Parallel algorithms; Parallel processing; Testing;
Conference_Titel :
Computers and Communications, 1990. Conference Proceedings., Ninth Annual International Phoenix Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-8186-2030-7
DOI :
10.1109/PCCC.1990.101693