A Cyclic Contrastive Divergence Learning Algorithm for High-Order RBMs.
Dingsheng LuoYi WangXiaoqiang HanXihong WuPublished in: ICMLA (2014)
Keyphrases
- restricted boltzmann machine
- high order
- contrastive divergence
- learning algorithm
- deep learning
- higher order
- conditional random fields
- semi supervised
- probabilistic graphical models
- pairwise
- hidden layer
- machine learning
- markov random field
- back propagation
- transfer learning
- feed forward
- active learning
- reinforcement learning
- neural network
- machine learning algorithms
- message passing
- probabilistic model
- loopy belief propagation
- training data