Belief likelihood function for generalised logistic regression.
Fabio CuzzolinPublished in: CoRR (2018)
Keyphrases
- logistic regression
- likelihood function
- maximum likelihood
- em algorithm
- particle filter
- posterior probability
- gaussian process
- model selection
- decision trees
- support vector
- loss function
- expectation maximization
- generative model
- logistic regression models
- parameter space
- naive bayes
- linear support vector machines
- cross validation
- gaussian mixture model
- mixture model
- training data
- image processing