Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks.
Agastya KalraAbdullah RashwanWei-Shou HsuPascal PoupartPrashant DoshiGeorgios TrimponiasPublished in: NeurIPS (2018)
Keyphrases
- feed forward
- structure learning
- network structure
- recurrent networks
- bayesian networks
- graphical models
- sum product
- spiking neural networks
- recurrent neural networks
- back propagation
- artificial neural networks
- neural network
- hidden layer
- parameter estimation
- conditional independence
- transfer learning
- belief propagation
- social networks
- sample size
- message passing
- genetic algorithm
- hidden markov models
- continuous variables
- markov networks
- lower bound
- reinforcement learning
- machine learning