Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes.
Andrew Y. K. FoongWessel P. BruinsmaJonathan GordonYann DuboisJames RequeimaRichard E. TurnerPublished in: CoRR (2020)
Keyphrases
- meta learning
- stochastic process
- stochastic processes
- inductive learning
- learning tasks
- markov chain
- model selection
- stochastic model
- prediction accuracy
- random fields
- machine learning algorithms
- non stationary
- decision trees
- probability distribution
- machine learning
- data mining
- feature selection
- random variables
- metamodel
- image classification
- autoregressive