Machine learning for automatic acquisition of Chinese linguistic ontology knowledge

2005 ◽  
Author(s):  
De-Quan Zheng ◽  
Tie-Jun Zhao ◽  
Feng Yu ◽  
Sheng-Li
Keyword(s):  
Machine Learning ◽  
Automatic Acquisition ◽  
Linguistic Ontology

Combining automatic acquisition of knowledge with machine learning approaches for multilingual temporal recognition and normalization

2008 ◽  
Vol 178 (17) ◽  
pp. 3319-3332 ◽  
Author(s):  
E. Saquete ◽  
O. Ferrández ◽  
S. Ferrández ◽  
P. Martínez-Barco ◽  
R. Muñoz
Keyword(s):  
Machine Learning ◽  
Learning Approaches ◽  
Automatic Acquisition

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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