Learning discriminative and structural samples for rare cell types with deep generative model.
Haiyue WangXiaoke MaPublished in: Briefings Bioinform. (2022)
Keyphrases
- generative model
- discriminative learning
- prior knowledge
- learned models
- discriminative models
- discriminative methods
- boltzmann machine
- learning algorithm
- generative and discriminative models
- hidden variables
- bayesian framework
- learning tasks
- unsupervised learning
- semi supervised
- deep belief networks
- learning process
- markov chain monte carlo
- probabilistic model
- supervised learning
- hidden markov models
- sparse coding
- posterior probability
- active learning
- conditional random fields
- training set
- learning environment
- feature extraction
- fisher kernel
- feature selection
- data sets