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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595510
