Sample Selection Based Active Learning for Imbalanced Data

The majority of learning systems don't take in consideration real world data problem and consider that the training sets are perfect. However, in real world data, this hypothesis is not always true. In fact, real world data is characterized by many different problems like redundancy, incoherence or ... View More