Being Bayesian about Categorical Probability.
Taejong JooUijung ChungMin-Gwan SeoPublished in: CoRR (2020)
Keyphrases
- posterior probability
- prior probabilities
- bayesian networks
- maximum likelihood
- confidence level
- categorical data
- probability distribution
- data driven
- conditional probabilities
- genetic algorithm
- bayesian learning
- posterior distribution
- evolutionary algorithm
- computer vision
- steady state
- attribute values
- search engine
- cross entropy
- neural network