Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation.
Francesco CamastraVincenzo CaponeAngelo CiaramellaAngelo RiccioAntonino StaianoPublished in: Environ. Model. Softw. (2022)
Keyphrases
- missing data
- support vector machine
- data imputation
- missing values
- support vector regression
- low rank
- structure from motion
- support vector
- automatic relevance determination
- motion segmentation
- imputation methods
- regression model
- incomplete data
- multiple imputation
- matrix factorization
- multi layer perceptron
- data sets
- model selection
- feature selection
- machine learning
- correlation coefficient
- kernel methods
- kernel function
- k nearest neighbor
- gaussian processes
- probabilistic model
- imprecise data
- dirichlet process mixture models
- databases
- database