Intelligent Model Selection for Hillclimbing Search in Computer-Aided Design.
Thomas EllmanJohn Eric KeaneMark SchwabacherPublished in: AAAI (1993)
Keyphrases
- model selection
- computer aided design
- cross validation
- bayesian learning
- computer aided
- parameter estimation
- hyperparameters
- sample size
- solid models
- machine learning
- model selection criteria
- computer graphics
- generalization error
- regression model
- feature selection
- gaussian process
- statistical inference
- process planning
- error estimation
- object oriented
- mixture model
- bayesian methods
- cad model
- automatic model selection
- selection criterion
- information criterion
- parameter determination
- subspace information criterion
- bayesian model selection
- database
- marginal likelihood
- bayesian information criterion
- reverse engineering
- variable selection
- computer assisted
- artificial intelligence
- data mining
- databases