The methods of reconstruction of perception based functions (PBF) given by the set of rules like “If X is SMALL then Y is VERY QUICKLY INCREASING”, “If X is BETWEEN A and B ...
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
During the process of updating a database, two interrelated problems could arise. On one hand, when an update is applied to the database, integrity constraints could become violat...