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Volumn 696, Issue , 2011, Pages 135-143
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Performance comparison of SLFN training algorithms for DNA microarray classification
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Author keywords
[No Author keywords available]
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Indexed keywords
ADULT;
ALGORITHM;
ARTIFICIAL NEURAL NETWORK;
BACK PROPAGATION;
CHILD;
CLASSIFICATION;
CONFERENCE PAPER;
CONTROLLED STUDY;
DISCRIMINANT ANALYSIS;
DNA MICROARRAY;
EXTREME LEARNING MACHINE;
HUMAN;
HUMAN TISSUE;
INFORMATION PROCESSING;
MAJOR CLINICAL STUDY;
NEURAL SVD ALGORITHM;
PRINCIPAL COMPONENT ANALYSIS;
PRIORITY JOURNAL;
REGULARIZED LEAST SQUARES EXTREME LEARNING MACHINE;
SAMPLE;
SINGLE LAYER FEEDFORWARD NEURAL NETWORK;
SUPPORT VECTOR MACHINE;
TRAINING ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
BIOLOGY;
COLON TUMOR;
COMPARATIVE STUDY;
EVALUATION;
GENETIC DATABASE;
GENETICS;
LEUKEMIA;
MALE;
PROSTATE TUMOR;
REGRESSION ANALYSIS;
STATISTICS;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
COLONIC NEOPLASMS;
COMPUTATIONAL BIOLOGY;
DATABASES, GENETIC;
DISCRIMINANT ANALYSIS;
HUMANS;
LEAST-SQUARES ANALYSIS;
LEUKEMIA;
MALE;
NEURAL NETWORKS (COMPUTER);
OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;
PRINCIPAL COMPONENT ANALYSIS;
PROSTATIC NEOPLASMS;
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EID: 79957979361
PISSN: 00652598
EISSN: None
Source Type: Book Series
DOI: 10.1007/978-1-4419-7046-6_14 Document Type: Conference Paper |
Times cited : (6)
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References (8)
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