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TRIPOD: three-action learning automaton for Tsetlin machine learning
Yehuda Rudin
,
Michal Yemini
,
Osnat Keren
,
Alexander Fish
Bar-Ilan University - The Alexander Kofkin Faculty of Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
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Keyphrases
Machine Learning
100%
Action Learning
100%
Tripod
100%
Learning Automata
100%
Tsetlin Machine
100%
Mutual Exclusivity
28%
Training Cycle
28%
Energy Efficiency
14%
Learning Improvement
14%
Hardware Complexity
14%
Machine Learning Algorithms
14%
Resource Utilization
14%
Boolean
14%
Automata
14%
Machine Learning Paradigms
14%
Comparable Accuracy
14%
Reduced Training
14%
Machine Model
14%
Rule-based Machine Learning
14%
Stochastic Feedback
14%
Social Sciences
Action Learning
100%
Learning System
100%
Machine Learning
100%
Stochastics
50%
Machine Learning Algorithm
50%
Hardware
50%
Computer Science
Automaton
100%
Machine Learning
100%
Learning System
100%
Exclusivity
40%
Training Cycle
40%
Machine Learning Algorithm
20%
Resource Utilisation
20%
Energy Efficiency
20%
Engineering
Learning Automaton
100%
Learning System
100%
Hardware Complexity
50%
Machine Learning Algorithm
50%
Resource Utilisation
50%
Conservation of Energy
50%