RAS Classifier – an integrated machine learning web server applied to binary and multinomial classification of biological data

碩士 === 國立交通大學 === 生物科技學系 === 103 === The main goal of this work is to construct a machine learning web server capable of performing binary and multinomial classifications and is well-suited to be applied to the biological researches in which predictions shall be made. This system is named the “RAS c...

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Bibliographic Details
Main Author: 葉偉恩
Other Authors: 羅惟正
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/xwzfhx