Distribution-Based Invariant Deep Networks for Learning Meta-Features.
Gwendoline de BieHerilalaina RakotoarisonGabriel PeyréMichèle SebagPublished in: CoRR (2020)
Keyphrases
- learning algorithm
- learning process
- neural network
- prior knowledge
- probability distribution
- knowledge acquisition
- learning systems
- learning tasks
- reinforcement learning
- co occurrence
- connectionist networks
- spatial distribution
- unsupervised feature learning
- feature hierarchies
- deep architectures
- learning analytics
- network structure
- image classification
- supervised learning
- image features
- feature extraction