Enhancing naive classifier for positive unlabeled data based on logistic regression approach.
Mateusz PlatekJan MielniczukPublished in: CoRR (2023)
Keyphrases
- logistic regression
- unlabeled data
- labeled training data
- labeled data
- co training
- training data
- labeled and unlabeled data
- semi supervised learning
- decision trees
- training set
- fold cross validation
- class labels
- semi supervised
- support vector
- naive bayes
- training examples
- bayesian classifiers
- active learning
- learning algorithm
- text classification
- positive and unlabeled examples
- supervised learning
- labeled instances
- decision boundary
- text categorization
- data points
- loss function
- naive bayes classifier
- feature selection
- transfer learning
- labeled examples
- class distribution
- positive examples
- classification accuracy
- training samples
- text classifiers
- bayesian classifier
- prior knowledge
- machine learning
- support vector machine
- learning problems
- unsupervised learning
- data sets
- multi label
- dimensionality reduction
- instance selection
- feature space
- feature extraction