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Cross validation and MLP architecture selection
Tim Andersen
, Tony Martinez
Computer Science Department
Brigham Young University
Research output
:
Contribution to conference
›
Paper
›
peer-review
48
Scopus citations
Overview
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Keyphrases
Network Architecture
100%
Architecture Selection
100%
Neural Network
33%
Machine Learning Algorithms
33%
Learning Styles
33%
Decision Tree
33%
Learning Model
33%
Problem Domain
33%
Real-world Problems
33%
Poor Performance
33%
Learning Algorithm
33%
Optimal Network Design
33%
Generalization Performance
33%
Computer Science
Network Architecture
44%
Neural Network
11%
Machine Learning Algorithm
11%
Decision Tree
11%
Experimental Evidence
11%
Problem Domain
11%
Learning Algorithm
11%
Real-World Problem
11%
Optimal Network
11%
Generalization Performance
11%
Social Sciences
Cross-Validation
100%
Decision Tree
11%
Neural Network
11%
Machine Learning Algorithm
11%