Linear-Time Learning on Distributions with Approximate Kernel Embeddings.
Danica J. SutherlandJunier B. OlivaBarnabás PóczosJeff G. SchneiderPublished in: AAAI (2016)
Keyphrases
- learning systems
- learning process
- prior knowledge
- learning tasks
- learning algorithm
- neural network
- probability distribution
- multi task
- online learning
- knowledge acquisition
- manifold learning
- perceptron learning
- kernel machines
- component analysis
- density estimation
- learning problems
- vector space
- background knowledge
- kernel function
- maximum likelihood
- supervised learning
- active learning
- feature space
- reinforcement learning