Online Scheduling of Machine Learning Jobs in Edge-Cloud Networks

2021 ◽  
Author(s):  
Jingping She ◽  
Ne Wang ◽  
Ruiting Zhou ◽  
Chen Tian
Keyword(s):  
Machine Learning ◽  
Online Scheduling ◽  
Cloud Networks

Online Scheduling Algorithm for Heterogeneous Distributed Machine Learning Jobs

2022 ◽  
pp. 1-1
Author(s):  
Ruiting Zhou ◽  
Jinlong Pang ◽  
Qin Zhang ◽  
Chuan Wu ◽  
Lei Jiao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Scheduling Algorithm ◽  
Online Scheduling ◽  
Distributed Machine Learning

Efficient Online Scheduling for Coflow-aware Machine Learning Clusters

2020 ◽  
pp. 1-1
Author(s):  
Wenxin Li ◽  
Sheng Chen ◽  
Keqiu Li ◽  
Heng Qi ◽  
Renhai Xu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Online Scheduling

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
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