Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization.
Nataliya SokolovskaYann ChevaleyreJean-Daniel ZuckerPublished in: MLDM (1) (2018)
Keyphrases
- restricted boltzmann machine
- contrastive divergence
- deep learning
- deep belief networks
- optical flow
- learning algorithm
- unsupervised learning
- conditional random fields
- probabilistic graphical models
- probabilistic model
- training set
- semi supervised
- active learning
- artificial neural networks
- higher order
- graphical models
- mental models
- loopy belief propagation
- object recognition
- training data
- machine learning