Being Bayesian about Categorical Probability.
Taejong JooUijung ChungMin-Gwan SeoPublished in: ICML (2020)
Keyphrases
- posterior probability
- bayesian networks
- maximum likelihood
- decision theory
- categorical data
- probability distribution
- data driven
- conditional probabilities
- bayesian analysis
- confidence level
- bayesian inference
- neural network
- information systems
- artificial intelligence
- hidden markov models
- posterior distribution
- lower bound
- bayesian estimation
- prior probabilities
- machine learning