Title :
Using the IIPS framework to specify machine-discovery problems
Author :
Hamilton, Howard J. ; Dyck, J. Michael
Author_Institution :
Dept. of Comput. Sci., Regina Univ., Sask., Canada
Abstract :
The authors apply the IIPS (inductive inference problem specification) framework to the task of specifying machine-discovery problems. They specify the problems attempted by equation-finding programs in general, and by BACON.1 in particular
Keywords :
inference mechanisms; learning (artificial intelligence); BACON.1; IIPS framework; equation-finding programs; inductive inference problem specification; machine-discovery problems; Computer science; Councils; In vitro fertilization; Lips; Machine learning;
Conference_Titel :
Computing and Information, 1992. Proceedings. ICCI '92., Fourth International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-8186-2812-X
DOI :
10.1109/ICCI.1992.227658
