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Volumn 16, Issue 2, 2005, Pages 491-494
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Improved access to sequential motifs: A note on the architectural bias of recurrent networks
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Author keywords
Architectural bias; Bioinformatics; Biological sequence; Recurrent neural network
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Indexed keywords
CODES (SYMBOLS);
DATA STRUCTURES;
ENCODING (SYMBOLS);
FEEDFORWARD NEURAL NETWORKS;
LEARNING ALGORITHMS;
LEARNING SYSTEMS;
PATTERN MATCHING;
PATTERN RECOGNITION;
ARCHITECTURAL BIAS;
BIOINFORMATICS;
BIOLOGICAL SEQUENCE;
RECURRENT NEURAL NETWORKS;
ARTIFICIAL NEURAL NETWORK;
BIOLOGY;
ENTROPY;
LETTER;
METHODOLOGY;
SEQUENCE ANALYSIS;
COMPUTATIONAL BIOLOGY;
ENTROPY;
NEURAL NETWORKS (COMPUTER);
SEQUENCE ANALYSIS;
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EID: 15344351555
PISSN: 10459227
EISSN: None
Source Type: Journal
DOI: 10.1109/TNN.2005.844086 Document Type: Article |
Times cited : (9)
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References (9)
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