A Benchmark Generative Probabilistic Model for Weak Supervised Learning.
Georgios PapadopoulosFran SilavongSean J. MoranPublished in: CoRR (2023)
Keyphrases
- probabilistic model
- supervised learning
- generative model
- unsupervised learning
- graphical models
- training data
- supervised classification
- learning tasks
- expectation maximization
- language model
- learning problems
- bayesian networks
- reinforcement learning
- data driven
- discriminative models
- discriminative learning
- statistical learning
- training set
- conditional random fields
- machine learning
- supervised machine learning
- learning algorithm
- class labels
- training samples
- semi supervised learning
- training examples
- case study
- search engine
- prior knowledge
- active learning
- semi supervised
- real world
- latent dirichlet allocation