Numerical observer for cardiac motion assessment using machine learning

2011 ◽  
Author(s):  
Thibault Marin ◽  
Mahdi M. Kalayeh ◽  
P. H. Pretorius ◽  
Miles N. Wernick ◽  
Yongyi Yang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cardiac Motion ◽  
Motion Assessment

Numerical observer for cardiac motion assessment

2010 ◽  
Author(s):  
Jovan G. Brankov ◽  
Thibault Marin ◽  
P. H. Pretorius ◽  
Yongyi Yang ◽  
Miles N. Wernick
Keyword(s):  
Cardiac Motion ◽  
Motion Assessment

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.

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
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