Efficient local techniques in financial time series forecasting

Autor: Karras, D.A., Mertzios, B. G., Papademetriou, Rallis

Publikováno v: Karras, D A, Mertzios, B G & Papademetriou, R 2000, Efficient local techniques in financial time series forecasting . in M Deville & R Owens (eds), Proceedings of 16th IMACS World Congress : scientific computation, applied mathematics and simulation . 2000 edn, 155, International Association for Mathematics and Computers in Simulation, New Brunswick, New Jersey, 16th IMACS World Congress, Lausanne, Switzerland, 21/08/00 .

Several improvements for the local reconstruction method in time series prediction are developed and presented in this paper. More specifically, it is suggested that by augmenting the state vectors with informative features coming from second orderin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3461::8c50d0e7abb043a01a062c0bcef965fb
https://researchportal.port.ac.uk/ws/files/3952426/Minisymposium.pdf

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On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features.

Autor: Karras, D. A., Mertzios, B. G.

Publikováno v: Advances in Data Mining. Applications & Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20 - 22, 2009. Proceedings; 2009, p361-371, 11p

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A SUPPORT VECTOR MACHINE FUNCTION APPROXIMATION APPROACH FOR SOLVING THE INVERSE MODELING PROBLEM IN INTELLIGENT ROBOTICS APPLICATIONS.

Autor: KARRAS, D. A., BOUTALIS, Y. S., MERTZIOS, B. G.

Publikováno v: Recent Trends in Multimedia Information Processing - Proceedings of the 9th International Workshop on Systems, Signals & Image Processing (Iwssip'02); 2002, p447-452, 6p