SLED: Semi-supervised Locally-weighted Ensemble Detector.
Shuxiang ZhangDavid Tse Jung HuangGillian DobbieYun Sing KohPublished in: ICDE (2020)
Keyphrases
- locally weighted
- semi supervised
- supervised and semi supervised
- regression problems
- multiple models
- linear regression
- polynomial regression
- regression model
- naive bayes
- semi supervised learning
- ensemble methods
- ensemble learning
- genetic programming
- random forests
- unlabeled data
- active learning
- random forest
- labeled data
- training set
- dynamic model
- neural network
- unsupervised learning
- pairwise
- supervised learning
- hyperparameters
- kernel function
- incremental learning
- text categorization
- multi task
- least squares
- data analysis
- feature selection
- learning algorithm
- machine learning
- data sets