Title :
Early-halting criteria for instance-based learning
Author_Institution :
King Abdulla II Sch. for IT, Jordan Univ., Amman, Jordan
Abstract :
Summary form only given. We address an important issue in instance-based learning that is the long classification time it requires. It presents early-halting criteria that allow us to achieve reasonable classification accuracy without having to search the whole instance memory for the nearest neighbor, which substantially reduces the classification time.
Keywords :
computational complexity; learning by example; search problems; classification accuracy; classification time; early-halting criteria; instance memory searching; instance-based learning; Nearest neighbor searches;
Conference_Titel :
Computer Systems and Applications, 2003. Book of Abstracts. ACS/IEEE International Conference on
Conference_Location :
Tunis, Tunisia
Print_ISBN :
0-7803-7983-7
DOI :
10.1109/AICCSA.2003.1227559