Adaboost with SVM-based classifier for the classification of brain motor imagery tasks

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

Volumn 6766 LNCS, Issue PART 2, 2011, Pages 629-634

  Wang, Jue ^a   Gao, Lin ^a   Zhang, Haoshi ^a   Xu, Jin ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Adaboost; Classification; ERS ERD; Kolmogorov entropy; Motor imagery; SVM

Indexed keywords

BASE CLASSIFIERS; CLASSIFICATION ACCURACY; CLASSIFICATION OF MOTOR IMAGERY TASK; COMPONENT CLASSIFIERS; ERS/ERD; FISHER LINEAR DISCRIMINANTS; HUMAN SUBJECTS; KERNEL FUNCTION PARAMETERS; KOLMOGOROV ENTROPY; MOTOR IMAGERY; MOTOR IMAGERY TASKS; PERFORMANCE IMPROVEMENTS; SVM; SVM CLASSIFIERS; SVM-BASED CLASSIFIERS; TEST DATA; TRAINING SAMPLE; WEIGHT VALUES;

ADAPTIVE BOOSTING; INTERFACES (COMPUTER); KNOWLEDGE MANAGEMENT;

BRAIN COMPUTER INTERFACE;

EID: 79960306360     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21663-3_68     Document Type: Conference Paper

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