Dynamical SVM for time series classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7476 LNCS, Issue , 2012, Pages 216-225

  Huerta, Ramón ^a   Vembu, Shankar ^b   Muezzinoglu, Mehmet K ^a   Vergara, Alexander ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOTIC TIME SERIES; DIFFUSIVE COUPLING; DUAL PROBLEM; EMPIRICAL COMPARISON; HIGHLY NONLINEAR; KERNEL BASED METHODS; MULTIDIMENSIONAL TIME; OPTIMIZATION PROCEDURES; REAL DATA SETS; SEQUENTIAL MINIMAL OPTIMIZATION ALGORITHMS; TIME SERIES CLASSIFICATIONS;

ALGORITHMS; DYNAMICAL SYSTEMS; NONLINEAR DYNAMICAL SYSTEMS; OPTIMIZATION; ORDINARY DIFFERENTIAL EQUATIONS; PATTERN RECOGNITION; TIME SERIES;

SUPPORT VECTOR MACHINES;

EID: 84865827244     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32717-9_22     Document Type: Conference Paper

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