Modified logistic regression using the EM algorithm for reject inference.
Billie AndersonJ. Michael HardinPublished in: Int. J. Data Anal. Tech. Strateg. (2013)
Keyphrases
- logistic regression
- em algorithm
- expectation maximization
- gibbs sampling
- mixture model
- parameter learning
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- decision trees
- support vector
- generative model
- gaussian mixture model
- gaussian mixture
- probability density function
- log likelihood
- hyperparameters
- naive bayes
- maximum a posteriori
- probabilistic inference
- loss function
- probabilistic model
- hidden variables
- bayesian networks
- belief networks
- density estimation
- machine learning
- data mining
- text mining
- probability distribution
- markov chain monte carlo
- k means