TY - GEN
T1 - Authoritative citation KNN learning in multiple-instance problems
AU - Bernadt, Joseph
AU - Soh, Leen Kiat
PY - 2004
Y1 - 2004
N2 - In this paper, we propose an authoritative citation K-nearest neighbor (ACKNN) algorithm for learning and classification in multiple-instance problems. We devise an authority measure for each instance or each bag of instances. This authority measure records how well an instance or a bag of instances has contributed to a correct classification, thus documenting how well an instance or a bag has been cited as a nearest neighbor. Based on our experiments with the Musk1 and Musk2 datasets, by learning the authority measures, the ACKNN algorithm outperforms most other algorithms in Musk1 classification accuracy, but only performs reasonably well in Musk2 classification accuracy.
AB - In this paper, we propose an authoritative citation K-nearest neighbor (ACKNN) algorithm for learning and classification in multiple-instance problems. We devise an authority measure for each instance or each bag of instances. This authority measure records how well an instance or a bag of instances has contributed to a correct classification, thus documenting how well an instance or a bag has been cited as a nearest neighbor. Based on our experiments with the Musk1 and Musk2 datasets, by learning the authority measures, the ACKNN algorithm outperforms most other algorithms in Musk1 classification accuracy, but only performs reasonably well in Musk2 classification accuracy.
UR - http://www.scopus.com/inward/record.url?scp=21244440667&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=21244440667&partnerID=8YFLogxK
U2 - 10.1109/icmla.2004.1383543
DO - 10.1109/icmla.2004.1383543
M3 - Conference contribution
AN - SCOPUS:21244440667
SN - 0780388232
SN - 9780780388239
T3 - Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04
SP - 410
EP - 417
BT - Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2004 International Conference on Machine Learning and Applications, ICMLA '04
Y2 - 16 December 2004 through 18 December 2004
ER -