DocumentCode
310481
Title
A new time series classification approach
Author
Plataniotis, Konstantinos N. ; Androutsos, Dimitrios ; Venetsanopoulos, Anastasios N.
Author_Institution
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume
4
fYear
1997
fDate
21-24 Apr 1997
Firstpage
3345
Abstract
A new approach to the problem of time series classification is discussed. A new adaptive classification scheme is introduced and compared with existing approaches, such as the Bayesian approach and the incremental credit assignment approach. Simulation results are included to demonstrate the effectiveness of the new methodology
Keywords
Bayes methods; adaptive signal processing; backpropagation; multilayer perceptrons; pattern classification; prediction theory; time series; Bayesian approach; adaptive classification; backpropagation; incremental credit assignment; multilayer perceptrons; nearest neighbor classification; simulation results; time series classification; Bayesian methods; Brain modeling; Digital signal processing; HTML; Linear systems; Maximum a posteriori estimation; Neural networks; Predictive models; Probability; Uniform resource locators;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.595510
Filename
595510
Link To Document