Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors.
Jiahua LuoYanfen GanChi-Man VongChi-Man WongChuangquan ChenPublished in: Neurocomputing (2021)
Keyphrases
- memory efficient
- sparse learning
- feature space
- feature vectors
- image classification
- machine learning algorithms
- machine learning
- decision trees
- support vector machine
- text classification
- training data
- cross validation
- feature extraction
- prior knowledge
- image features
- support vector
- model selection
- class labels
- elastic net
- relevance vector machine