Conquering the needle-in-a-haystack: How correlated input variables beneficially alter the fitness landscape for neural networks

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

Volumn 5483 LNCS, Issue , 2009, Pages 80-91

  Turner, Stephen D ^a   Ritchie, Marylyn D ^a   Bush, William S ^a  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Correlation; Fitness landscape; Gene gene interaction; Linkage disequilibrium; Machine learning; Neural networks

Indexed keywords

CORRELATION; FITNESS LANDSCAPE; GENE-GENE INTERACTION; LINKAGE DISEQUILIBRIUM; MACHINE LEARNING;

BIOINFORMATICS; EDUCATION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; MINING; NEEDLES; NEURAL NETWORKS; ROBOT LEARNING;

HEALTH;

EID: 67650660993     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01184-9_8     Document Type: Conference Paper

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