Classifier learning from difficult data on the example of missing features.
Piotr PorwikTomasz OrczykRafal DorozPublished in: IJCNN (2021)
Keyphrases
- prior knowledge
- learning algorithm
- extracted features
- background knowledge
- database
- missing data
- data analysis
- data collection
- data sets
- learning models
- training data
- data structure
- learned models
- labeled data
- feature space
- feature set
- learning process
- data points
- missing values
- false positives
- image features
- training samples
- high dimensional data
- training examples
- svm classifier
- reinforcement learning
- test data
- semi supervised
- incomplete data
- feature selection algorithms
- decision trees
- labeled and unlabeled data
- input data