Forecasting intermittent demand by SVMs regression.
Yukun BaoWen WangJinlong ZhangPublished in: SMC (1) (2004)
Keyphrases
- support vector
- support vector regression
- demand forecasting
- forecasting accuracy
- sparse kernel
- regression problems
- support vector machine svm
- classification and regression problems
- kernel function
- regression model
- generalized regression neural network
- forecasting model
- support vector machine
- feature selection
- hybrid model
- linear regression
- classification using support vector machines
- machine learning
- electricity markets
- stock market prediction
- short term
- logistic regression
- multi class
- cross validation
- standard svm
- hyperplane
- knn
- binary classification
- ridge regression
- wavelet support vector machine
- training support vector machines
- support vectors
- least squares
- prediction model
- model selection
- learning algorithm
- maximum margin
- decision trees
- training data
- feature set
- genetic programming
- grey model
- svm classifier
- kernel methods
- lead time
- structured learning
- gaussian processes
- reduced set
- reproducing kernel hilbert space
- regression analysis