Markov chain Hebbian learning algorithm with ternary synaptic units.
Guhyun KimVladimir KornijcukDohun KimInho KimJaewook KimHyo Cheon WooJi-Hun KimCheol Seong HwangDoo Seok JeongPublished in: CoRR (2017)
Keyphrases
- markov chain
- learning rules
- learning algorithm
- hebbian learning
- steady state
- neural network
- learning scheme
- random walk
- biologically inspired
- finite state
- monte carlo
- back propagation
- state space
- monte carlo method
- artificial neural networks
- transition probabilities
- markov process
- monte carlo simulation
- markov model
- spiking neural networks
- stationary distribution
- machine learning
- learning tasks
- reinforcement learning
- transition matrix
- sample complexity
- feed forward
- supervised learning
- active learning
- gibbs sampler