A support vector machine for model selection in demand forecasting applications.
Marco A. VillegasDiego J. PedregalJuan R. TraperoPublished in: Comput. Ind. Eng. (2018)
Keyphrases
- model selection
- demand forecasting
- support vector machine
- forecasting accuracy
- feature selection
- cross validation
- historical data
- machine learning
- svm classifier
- regression model
- supply chain
- model selection criteria
- support vector regression
- hyperparameters
- support vector machine svm
- parameter estimation
- sample size
- kernel function
- information criterion
- selection criterion
- feature vectors
- feature space
- support vector
- water resources
- variable selection
- training data
- marginal likelihood
- real world
- kernel methods
- k nearest neighbor
- generalization ability
- dimension reduction
- generalization error
- ls svm
- radial basis function
- selection criteria
- bayesian information criterion
- management system