A two-step machine learning approach for dynamic model selection: A case study on a micro milling process.
Yarens J. CruzMarcelino RivasRamón QuizaRodolfo E. HaberFernando CastañoAlberto VillalongaPublished in: Comput. Ind. (2022)
Keyphrases
- model selection
- machine learning
- cross validation
- statistical learning
- statistical inference
- meta learning
- parameter estimation
- hyperparameters
- sample size
- selection criterion
- bayesian learning
- feature selection
- regression model
- mixture model
- covariate shift
- model selection criteria
- error estimation
- motion segmentation
- support vector machine
- gaussian process
- bayesian methods
- graphical models
- unsupervised learning
- machine learning methods
- markov random field
- probability distribution
- learning machines
- prior knowledge
- bayesian networks
- decision trees
- generalization bounds
- tool wear
- machine learning algorithms