Feature selection for semi-supervised multi-target regression using genetic algorithm.
Farrukh Hasan SyedMuhammad Atif TahirMuhammad RafiMir Danish ShahabPublished in: Appl. Intell. (2021)
Keyphrases
- multi target
- semi supervised
- feature selection
- predictive clustering trees
- multi target tracking
- multi sensor
- model selection
- support vector
- semi supervised learning
- text categorization
- data association
- multi camera
- unlabeled data
- labeled data
- classification accuracy
- feature set
- multiple targets
- data fusion
- supervised learning
- visual tracking
- pairwise
- multi class
- genetic algorithm ga
- feature extraction
- feature space
- random forests
- machine learning
- multiscale
- multi view
- naive bayes
- image fusion
- text classification
- active learning
- image processing
- simple linear
- spatio temporal
- multiple objects
- particle filter