An empirical study for the multi-class imbalance problem with neural networks

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

Volumn 5197 LNCS, Issue , 2008, Pages 479-486

  Alejo, R ^a,b,c   Sotoca, J M ^c   Casan G A ^c  

^a UNIVERSIDAD AUTÓNOMA DEL ESTADO DE MÉXICO   (Mexico)

^b INSTITUTO TECNOLÓGICO DE TOLUCA   (Mexico)

^c UNIVERSITAT JAUME I   (Spain)

Author keywords

Backpropagation; Cost function; Multi class imbalance

Indexed keywords

COST FUNCTIONS; FEATURE EXTRACTION; IMAGE ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION;

CLASS IMBALANCE PROBLEMS; CONVERGENCE PROCESSES; CRITICAL FACTORS; DATA SETS; EMPIRICAL STUDIES; GENERALIZATION ABILITIES; MULTI-CLASS IMBALANCE; SPEED-UP;

NEURAL NETWORKS;

EID: 55349129292     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85920-8_59     Document Type: Conference Paper

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