A Topological-Framework to Improve Analysis of Machine Learning Model Performance.
Henry KvingeColby WightSarah AkersScott HowlandWoongjo ChoiXiaolong MaLuke GosinkElizabeth JurrusKeerti KappagantulaTegan H. EmersonPublished in: CoRR (2021)
Keyphrases
- machine learning
- computational model
- probabilistic model
- mathematical model
- objective function
- conceptual framework
- bayesian framework
- mathematical framework
- theoretical framework
- main contribution
- conceptual model
- management system
- probability distribution
- formal model
- learning models
- modeling framework
- feature selection
- theoretical foundation
- decision model
- generic model
- parameter estimation
- statistical model
- theoretical analysis
- artificial neural networks
- computer science
- natural language
- reinforcement learning
- similarity measure
- high level
- genetic algorithm