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Using more data to speed-up training time
Shai Shalev-Shwartz
, Ohad Shamir
,
Eran Tromer
School of Computer Science and AI
Hebrew University of Jerusalem
Microsoft USA
Research output
:
Contribution to journal
›
Conference article
›
peer-review
14
Scopus citations
Overview
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Keyphrases
Training Time
100%
Learning Problems
100%
Training Intensity
100%
Naturalistic Learning
66%
Learning Algorithm
33%
Computational Complexity
33%
Application Data
33%
Sample Complexity
33%
Polynomial Growth
33%
Synthetic Learning
33%
Recent Applications
33%
Training Examples
33%
Computer Science
Speed-up
100%
Learning Problem
100%
Learning Algorithm
33%
Application Data
33%
Clear Understanding
33%
Training Example
33%