A Probability-Based Models Ranking Approach: An Alternative Method of Machine-Learning Model Performance Assessment.
Stanislaw GajdaMarcin ChlebusPublished in: Sensors (2022)
Keyphrases
- probabilistic model
- statistical model
- machine learning
- prediction model
- linear model
- statistical methods
- probability model
- machine learning methods
- analytical model
- parameter estimation
- mathematical model
- objective function
- prior knowledge
- linear models
- bayesian framework
- linear regression
- monte carlo simulation
- multiple models
- theoretical analysis
- hierarchical model
- statistical models
- cost function
- nonlinear models
- diffusion model
- modeling method
- model fitting
- generic model
- learning models
- multiple linear regression
- parametric models
- experimental data
- machine learning algorithms
- probability distribution
- baseline models
- cross entropy
- learned models
- regression method
- surface model
- pairwise
- relevance model
- predictive model
- data mining
- evaluation method
- autoregressive
- hybrid model
- input data
- computational models
- prior information
- classification models
- numerical methods
- reinforcement learning
- image segmentation
- optimization method
- decision trees
- feature selection
- score function
- scoring functions
- mutual reinforcement