Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Model transformation has become one of the most focused research field, motivated by for instance the OMG's Model-Driven Architecture (MDA). Metamodeling is a central techniq...
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Functional validation is a major bottleneck in microprocessor design methodology. Simulation is the widely used method for functional validation using billions of random and biase...
Functional validation is a major bottleneck in pipelined processor design. Simulation using functional test vectors is the most widely used form of processor validation. While exi...