Approximation capability of neural networks on spaces of probability measures and tree-structured domains.
Tomás PevnýVojtech KovaríkPublished in: CoRR (2019)
Keyphrases
- structured domains
- probability measures
- neural network
- hilbert space
- stochastic process
- probability measure
- metric space
- bayesian networks
- continuous functions
- conditional random fields
- stochastic processes
- markov chain
- belief functions
- activation function
- infinite dimensional
- data structure
- similarity search
- feature extraction