Generating models of mental retardation from data with machine learning

2002 ◽  
Author(s):  
S. Mani ◽  
S.W. McDermott ◽  
M.J. Pazzani
Keyword(s):  
Machine Learning ◽  
Mental Retardation

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.

Jansky-Bielschowsky syndrome, a lysosomal disease: First diagnosed cash in Oman

1992 ◽  
Vol 50 (1) ◽  
pp. 632-633
Author(s):  
Line Buhl ◽  
David Muirhead
Keyword(s):  
Mental Retardation ◽  
Clinical Picture ◽  
Neurological Disorder ◽  
Clinical Presentation ◽  
Neuronal Ceroid Lipofuscinosis ◽  
Infantile Form ◽  
Lysosomal Disease ◽  
Juvenile Form ◽  
Progressive Encephalopathy ◽  
Lysosomal Diseases

There are four lysosomal diseases of which the neuronal ceroid lipofuscinosis is the rarest. The clinical presentation and their characteric abnormal ultrastructure subdivide them into four types. These are known as the Infantile form (Santavuori-Haltia), Late infantile form (Jansky-Bielschowsky), Juvenile form (Batten-Spielmeyer-Voght) and the Adult form (Kuph's).An 8 year old Omani girl presented wth myclonic jerks since the age of 4 years, with progressive encephalopathy, mental retardation, ataxia and loss of vision. An ophthalmoscopy was performed followed by rectal suction biopsies (fig. 1). A previous sibling had died of an undiagnosed neurological disorder with a similar clinical picture.

Data Mining and Machine Learning

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