Novel Regression and Least Square Support Vector Machine Learning Technique for Air Pollution Forecasting.
Dhanalakshmi MRadha VPublished in: CoRR (2023)
Keyphrases
- air pollution
- support vector
- support vector regression
- least squares
- machine learning
- mercer kernels
- air quality
- support vector machine
- linear regression
- learning machines
- feature selection
- kernel methods
- gaussian kernels
- kernel function
- traffic volume
- learning algorithm
- decision trees
- regression model
- cross validation
- classification and regression problems
- regression problems
- structural risk minimization
- ls svm
- learning problems
- logistic regression
- learning tasks
- hyperparameters
- binary classification
- forecasting model
- data mining
- short term
- loss function
- machine learning algorithms
- model selection
- image analysis
- pattern recognition
- computer vision
- support vector machine svm
- prediction model
- maximum margin
- image registration
- optical flow
- density ratio estimation