Linear-time Learning on Distributions with Approximate Kernel Embeddings.
Danica J. SutherlandJunier B. OlivaBarnabás PóczosJeff G. SchneiderPublished in: CoRR (2015)
Keyphrases
- learning systems
- learning algorithm
- multiple kernel
- unsupervised learning
- kernel machines
- component analysis
- learning problems
- learning tasks
- data sets
- graphical models
- supervised learning
- probability distribution
- active learning
- knowledge acquisition
- online learning
- background knowledge
- mobile learning
- machine learning