TY - GEN
T1 - Evaluation of hierarchical temporal memory for a real world application
AU - Melis, Wim J.C.
AU - Chizuwa, Shuhei
AU - Kameyama, Michitaka
PY - 2009/12/1
Y1 - 2009/12/1
N2 - A large number of real world applications, such as user support systems, can still not be performed easily by conventional algorithms in comparison with the human brain. Such intelligence is often implemented, by using probability based systems. This paper focuses on comparing the implementation of a cellular phone intention estimation example on a Bayesian Network and Hierarchical Temporal Memory. It is found that Hierarchical Temporal Memory is a system that requires little effort for designing the application, and with some extra effort, further optimised results can easily be obtained.
AB - A large number of real world applications, such as user support systems, can still not be performed easily by conventional algorithms in comparison with the human brain. Such intelligence is often implemented, by using probability based systems. This paper focuses on comparing the implementation of a cellular phone intention estimation example on a Bayesian Network and Hierarchical Temporal Memory. It is found that Hierarchical Temporal Memory is a system that requires little effort for designing the application, and with some extra effort, further optimised results can easily be obtained.
UR - http://www.scopus.com/inward/record.url?scp=77951481409&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951481409&partnerID=8YFLogxK
U2 - 10.1109/ICICIC.2009.195
DO - 10.1109/ICICIC.2009.195
M3 - Conference contribution
AN - SCOPUS:77951481409
SN - 9780769538730
T3 - 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
SP - 144
EP - 147
BT - 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
T2 - 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Y2 - 7 December 2009 through 9 December 2009
ER -