An Approach for Assessing Quality of Labeled Data for a Machine Learning Task in Malaria Detection.
Rose NakasiErnest MwebazeAminah ZaweddeJeremy Francis TusubiraGilbert MaigaPublished in: COMPASS (2020)
Keyphrases
- labeled data
- semi supervised learning
- machine learning
- unlabeled data
- text classification
- supervised learning
- active learning
- semi supervised
- transfer learning
- feature engineering
- learning algorithm
- training data
- domain adaptation
- class labels
- unsupervised learning
- co training
- semi supervised classification
- labeled and unlabeled data
- labeled examples
- machine learning algorithms
- background knowledge
- learning tasks
- supervised learning algorithms
- training examples
- object detection
- label propagation
- neural network
- data points
- prior knowledge
- labeled training data
- learning problems
- training set
- feature selection
- information extraction
- naive bayes
- text categorization
- semi supervised learning methods
- knowledge representation
- knowledge discovery
- supervised methods
- support vector machine
- labeled training set
- labeled data for training
- supervised classification
- learning models
- natural language processing
- pairwise
- data analysis
- decision trees
- data mining