Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation.
Yu InatsuMasayuki KarasuyamaKeiichi InoueHideki KandoriIchiro TakeuchiPublished in: Neural Comput. (2020)
Keyphrases
- linear models
- binary features
- variable selection
- high dimensional
- active learning
- linear model
- gaussian processes
- additive models
- parameter space
- nearest neighbor
- dimensionality reduction
- linear regression
- least squares
- feature space
- image processing
- low dimensional
- random sampling
- region of interest
- high dimensional data
- causal relationships
- bayesian inference
- dimension reduction
- regression model
- data mining
- labeled data
- training data
- feature extraction
- feature selection
- learning algorithm
- machine learning