DocumentCode
1992278
Title
Early-halting criteria for instance-based learning
Author
el Hindi, K.
Author_Institution
King Abdulla II Sch. for IT, Jordan Univ., Amman, Jordan
fYear
2003
fDate
14-18 July 2003
Firstpage
127
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/AICCSA.2003.1227559
Filename
1227559
Link To Document