A comparison of non-linear non-parametric models for epilepsy data

Computers in Biology and Medicine

Volumn 31, Issue 1, 2001, Pages 41-57

  Miwakeichi, Fumikazu ^a   Ramirez Padron, Ruben ^b   Valdes Sosa, Pedro A ^b   Ozaki, Tohru ^c  

^a GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^b CUBAN NEUROSCIENCE CENTER   (Cuba)

^c INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

Author keywords

Chaos; Epilepsy; Local polynomial regression; Nadaraya Watson; Non linear stochastic system; Support vector machines; Time series analysis

Indexed keywords

CHAOS THEORY; CORRELATION METHODS; DATA REDUCTION; DATA STRUCTURES; DISEASES; MATHEMATICAL MODELS; POLYNOMIALS; RANDOM PROCESSES; REGRESSION ANALYSIS; SPURIOUS SIGNAL NOISE; TIME SERIES ANALYSIS; VECTORS;

EPILEPSY; NADARAYA-WATSON THEORY; SUPPORT VECTOR MACHINES;

ELECTROENCEPHALOGRAPHY;

ARTICLE; DATA ANALYSIS; ELECTROENCEPHALOGRAM; EPILEPSY; HUMAN; LINEAR SYSTEM; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; STOCHASTIC MODEL;

COMPARATIVE STUDY; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMAN; LINEAR MODELS; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; SOFTWARE; STOCHASTIC PROCESSES; SUPPORT, NON-U.S. GOV'T;

EID: 0035238879     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(00)00021-4     Document Type: Article

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