Title :
In search for high performance [machine learning]
Author :
Wijkman, Pierre A I
Author_Institution :
R. Inst. of Technol., Stockholm, Sweden
Abstract :
We present a framework for machine learning that is based on, or more accurately, inspired from, concepts taken from the natural process of biological evolution. Currently, there exist many such evolutionary computational approaches to machine learning. The approach presented differs radically from these approaches; by taking a very abstract and general viewpoint to the process of evolutionary computation we arrive at some very remarkable and general results. This new approach and its accompanying results are presented
Keywords :
evolution (biological); inference mechanisms; learning (artificial intelligence); evolutionary computation; evolutionary computational approaches; general viewpoint; high performance; machine learning; natural process of biological evolution; Biological system modeling; Biology computing; Computational modeling; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic programming; History; Machine learning;
Conference_Titel :
Expert Systems for Development, 1994., Proceedings of International Conference on
Conference_Location :
Bangkok
Print_ISBN :
0-8186-5780-4
DOI :
10.1109/ICESD.1994.302308
