Contrastive Representation Learning for Electroencephalogram Classification.
Mostafa Neo MohsenvandMohammad Rasool IzadiPattie MaesPublished in: ML4H@NeurIPS (2020)
Keyphrases
- learning systems
- supervised learning
- pattern recognition
- learning phase
- machine learning
- unsupervised learning
- incremental learning
- support vector machine svm
- feature representation
- prior knowledge
- learning process
- feature vectors
- reinforcement learning
- feature selection
- statistical learning
- text classification
- pattern classification
- classification rules
- bayesian methods
- knowledge acquisition
- classification accuracy
- discriminative learning
- learning algorithm
- inductive inference
- multi category
- learning tasks
- classification algorithm
- class labels
- training samples
- probabilistic model
- preprocessing