Markov chain stochastic DCA and applications in deep learning with PDEs regularization.
Hoang Phuc Hau LuuHoai Minh LeHoai An Le ThiPublished in: Neural Networks (2024)
Keyphrases
- markov chain
- deep learning
- monte carlo
- monte carlo method
- steady state
- unsupervised learning
- transition probabilities
- partial differential equations
- machine learning
- monte carlo simulation
- transition matrix
- random walk
- stationary distribution
- state space
- level set
- mental models
- weakly supervised
- higher order
- markov chain monte carlo
- pattern recognition
- genetic algorithm