Stochastic Sequential Neural Networks with Structured Inference.

Hao Liu Haoli Bai Lirong He Zenglin Xu

Published in: CoRR (2017)

Keyphrases

neural network
pattern recognition
boltzmann machines
structured data
fuzzy logic
artificial neural networks
stochastic optimization
bayesian networks
back propagation

genetic algorithm
monte carlo
max margin learning
bayesian inference
finite state transducers
neural nets
hopfield neural network
tree grammars
machine learning

multilayer perceptron
belief networks
inference process
real world
efficient inference algorithms
knowledge base
reinforcement learning
stochastic simulation

stochastic programming
neural network model
learning automata
inference engine
network architecture
recurrent neural networks
random fields
probabilistic inference