A machine learning workflow for molecular analysis: application to melting points
نویسندگان
چکیده
منابع مشابه
A Bayesian Based Machine Learning Application to Task Analysis
Many task analysis techniques and methods have been developed over the past decades, but identifying and decomposing a user’s task into small task components remains a difficult, impractically time-consuming, and expensive process that involves extensive manual effort (Sheridan, 1997; Liu, 1997; Gramopadhye and Thaker, 1999; Annett and Stanton, 2000; Bridger, 2003; Stammers and Shephard, 2005; ...
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Production and non-productive equipment and personnel delays are a critical element of any production system. The frequency and length of delays impact heavily on the production and economic efficiency of these systems. Machining processes in wood industry are particularly vulnerable to productive and non-productive delays. Whereas, traditional manufacturing industries usually operate on homoge...
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abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
15 صفحه اولMachine Learning in Molecular Biology Sequence Analysis
To investigate how human characteristics are inherited, molecular biologists have been analyzing chemical sequences from DNA, RNA, and proteins. To facilitate this process, sequence analysis knowledge has been encoded in computer programs. However , translating human knowledge to programs is known to be problematic. Machine Learning techniques allow these systems to be generated automatically. ...
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ژورنال
عنوان ژورنال: Machine Learning: Science and Technology
سال: 2020
ISSN: 2632-2153
DOI: 10.1088/2632-2153/ab8aa3