scholarly journals Machine learning for automatic assignment of the severity of cybersecurity events

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Noemí DeCastro‐García ◽  
Ángel L. Muñoz Castañeda ◽  
Mario Fernández‐Rodríguez
Keyword(s):  
Machine Learning ◽  
Automatic Assignment

scholarly journals Mot en trebank for amerikanorsk

2021 ◽  
Vol 11 (2) ◽  
pp. 243-250
Author(s):  
Andre Kåsen
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Automatic Assignment ◽  
Learning Techniques ◽  
Accuracy Measure ◽  
Dependency Relations ◽  
Syntactic Dependency

This article presents a method for automatic assignment of syntactic dependency relations to the corpus of American Norwegian speech (CANS). Different machine learning techniques and corpora are used. Finally, an accuracy measure is computed and compared with a relatively new treebank for spoken Norwegian.

scholarly journals Automatic Assignment of Bonded Force Field Parameters for Small Molecules Using Machine Learning

2019 ◽  
Vol 116 (3) ◽  
pp. 289a-290a ◽  
Author(s):  
Praveer Narwelkar ◽  
Hui Sun Lee ◽  
Sihong Xie ◽  
Wonpil Im
Keyword(s):  
Machine Learning ◽  
Force Field ◽  
Small Molecules ◽  
Automatic Assignment ◽  
Force Field Parameters

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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