Mapping biological sequences or tracking tweets: computer scientists find new, unique approaches to data analysis
Classification models are of overall importance in a variety of data analysis tasks, like classifying patient data to diseases or images to categories. If the training data for these models are vectorial and expected to be fully labeled, effective classifiers are readily available. In the modern world where data are generated much quicker than we are able to analyze it, the labeling of data becomes very costly and is often partially missing.