Universal Approximation of Markov Kernels by Shallow Stochastic Feedforward Networks.
Guido MontúfarPublished in: CoRR (2015)
Keyphrases
- feed forward
- recurrent networks
- back propagation
- neural nets
- spiking neural networks
- artificial neural networks
- spiking neurons
- recurrent neural networks
- neural network
- hidden layer
- biologically plausible
- markov processes
- approximation schemes
- neuron model
- discrete random variables
- adaptive neural
- visual cortex
- neural architecture
- markov model
- artificial neural
- natural language processing
- information extraction
- support vector
- social networks
- network structure
- kernel function
- markov chain
- activation function
- network architecture
- kernel methods
- gaussian convolution
- primate visual cortex