Estimating the class prior for positive and unlabelled data via logistic regression.
Malgorzata LazeckaJan MielniczukPawel TeisseyrePublished in: Adv. Data Anal. Classif. (2021)
Keyphrases
- labeled data
- logistic regression
- unlabelled data
- semi supervised
- co training
- prior knowledge
- training data
- decision trees
- support vector
- labelled data
- naive bayes
- linear svm
- positive examples
- positive and negative
- loss function
- data points
- logistic regression models
- classification trees
- multi view
- neural network
- supervised and unsupervised learning
- maximum likelihood
- d objects
- information extraction
- high dimensional
- feature space
- natural language
- information retrieval
- machine learning