Supervised Textual Document Classification Using Neuronal Group Learning

Together with fast development of different areas of pattern analysis, an increasing demand on new models and techniques is observed. Especially new information retrieval tasks, oriented on data meaning rather than layout, prove to be demanding for most known techniques. neuronal group learning concept presented in this article, together with prototype implementation gives flexibility of utilization of any kind of expert knowledge about the problem to ease classifier inference process. It can also be used to acquire structural knowledge about an object, which can later be used for solving a segmentation problem-often addressed in semantics-oriented text and image processing.