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SubStrat: A Subset-Based Optimization Strategy for Faster AutoML
Teddy Lazebnik
, Amit Somech
, Abraham Itzhak Weinberg
Research output
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Contribution to journal
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Article
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peer-review
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Dive into the research topics of 'SubStrat: A Subset-Based Optimization Strategy for Faster AutoML'. Together they form a unique fingerprint.
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Keyphrases
AutoML
100%
Optimization Strategy
100%
Subset-based
100%
ML pipeline
37%
Machine Learning System
25%
Machine Learning Framework
25%
Configuration Space
12%
Prediction Accuracy
12%
Machine Learning Workflow
12%
Model Selection
12%
Genetic Algorithm
12%
Data Scientist
12%
Feature Engineering
12%
Engineering Model
12%
Hyperparameter Tuning
12%
Manual Work
12%
Selection Parameters
12%
Optimal pipeline
12%
Learning-based Optimization
12%
Auto-Sklearn
12%
Computer Science
Optimization Strategy
100%
Automated Machine Learning
100%
Learning Framework
25%
Configuration Space
12%
Experimental Result
12%
Large Data Set
12%
Data Scientist
12%
Learning Process
12%
Predictive Accuracy
12%
Model Selection
12%
Feature Engineering
12%