SP-BRAIN: scalable and reliable implementations of a supervised relevance-based machine learning algorithm.
Valerio MorfinoSalvatore RamponeEmanuel WeitschekPublished in: Soft Comput. (2020)
Keyphrases
- learning algorithm
- supervised learning
- machine learning algorithms
- training data
- learning machines
- reinforcement learning
- human brain
- machine learning
- learning rate
- active learning
- brain images
- training examples
- learning scheme
- sample complexity
- learning problems
- cost effective
- back propagation
- information retrieval
- membership queries
- generalization ability
- flowshop
- learning tasks
- semi supervised
- learning models
- ranked list
- supervised classification
- unsupervised learning
- eeg signals
- relevance feedback
- search engine
- electrical activity