Rethinking skip connection model as a learnable Markov chain.
Dengsheng ChenJie HuWenwen QiangXiaoming WeiEnhua WuPublished in: CoRR (2022)
Keyphrases
- markov chain
- markov model
- markov process
- transition probabilities
- stochastic process
- monte carlo simulation
- transition matrix
- stationary distribution
- state space
- statistical model
- monte carlo
- learning algorithm
- prior knowledge
- random fields
- maximum entropy
- finite state
- experimental data
- steady state
- dynamic programming
- monte carlo method
- neural network