Machine Learning for the Cleaner Production of Antioxidant Peptides

2021 ◽  
Author(s):  
Jose Isagani B. Janairo
Keyword(s):  
Machine Learning ◽  
Cleaner Production ◽  
Antioxidant Peptides

Machine learning for cleaner production in port of Casablanca

2021 ◽  
Vol 294 ◽  
pp. 126269
Author(s):  
Soukaina Fahdi ◽  
Mariam Elkhechafi ◽  
Hanaa Hachimi
Keyword(s):  
Machine Learning ◽  
Cleaner Production

Development of a machine learning-based predictor for identifying and discovering antioxidant peptides based on a new strategy

Food Control ◽  
2021 ◽  
pp. 108439
Author(s):  
Yong Shen ◽  
Chunmei Liu ◽  
Kunmei Chi ◽  
Qian Gao ◽  
Xue Bai ◽  
...  
Keyword(s):  
Machine Learning ◽  
Antioxidant Peptides ◽  
New Strategy

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Machine Learning for Speaker Recognition

2020 ◽  
Author(s):  
Man-Wai Mak ◽  
Jen-Tzung Chien
Keyword(s):  
Machine Learning ◽  
Speaker Recognition

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning

Phase Transitions in Machine Learning

2009 ◽  
Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols
Keyword(s):  
Machine Learning ◽  
Phase Transitions

Understanding Machine Learning

2009 ◽  
Author(s):  
Shai Shalev-Shwartz ◽  
Shai Ben-David
Keyword(s):  
Machine Learning

Using machine learning techniques to reduce data annotation time

2006 ◽  
Author(s):  
Christopher Schreiner ◽  
Kari Torkkola ◽  
Mike Gardner ◽  
Keshu Zhang
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Data Annotation ◽  
Learning Techniques
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