Generative Models and Learning Algorithms for Core-Periphery Structured Graphs.
Sravanthi GurugubelliSundeep Prabhakar ChepuriPublished in: CoRR (2022)
Keyphrases
- generative model
- learning algorithm
- representational power
- probabilistic model
- discriminative models
- mixture model
- learned models
- em algorithm
- learning tasks
- active learning
- semi supervised
- discriminative learning
- prior knowledge
- conditional random fields
- hierarchical hidden markov models
- hidden variables
- machine learning algorithms
- topic models
- machine learning
- expectation maximization
- maximum entropy principle
- supervised learning
- generative and discriminative models
- unsupervised learning
- pairwise
- spanning tree
- training data
- random variables
- efficient learning
- maximum likelihood
- reinforcement learning