A Learning Algorithm with Compression-Based Regularization.
Matías VeraLeonardo Rey VegaPablo PiantanidaPublished in: ICASSP (2018)
Keyphrases
- learning algorithm
- compression ratio
- compression algorithm
- data compression
- machine learning algorithms
- image compression
- learning scheme
- learning rate
- machine learning
- active learning
- compression scheme
- prior information
- back propagation
- lossless compression
- regularization term
- compression rate
- reinforcement learning
- rbf network
- regularization parameter
- parameter selection
- restricted boltzmann machine
- inductive bias
- generalization ability
- learning models
- classification algorithm
- training examples
- supervised learning
- feature space
- training data
- training samples
- maximum margin
- learning process
- regularization methods
- image processing