Edition is an important and useful task in supervised classification specifically for instance-based classifiers because edition discards from the training set those useless or har...
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Background: Prediction of protein localization in subnuclear organelles is more challenging than general protein subcelluar localization. There are only three computational models...
Although a considerable amount of work has been published on material classification, relatively little of it studies situations with considerable variation within each class. Man...