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Volumn 696, Issue , 2011, Pages 135-143

Performance comparison of SLFN training algorithms for DNA microarray classification

Author keywords

[No Author keywords available]

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;

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)

References (8)
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  • 3
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  • 6
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    • Systematic benchmarking of microarray data classification: Assessing the role of non-linearity and dimensionality reduction
    • DOI 10.1093/bioinformatics/bth383
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.