Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar wi
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Format PDF ● Pages 211 ● ISBN 9781439821282 ● Publisher CRC Press ● Published 2016 ● Downloadable 6 times ● Currency EUR ● ID 2381973 ● Copy protection Adobe DRM
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