The problem of face identification has received significant attention over the years. For a given probe face, the goal of face identification is to match this unknown face against ...
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
The application of conceptual models that assure both the consistency and usability of Electronic Product Catalogs (EPC's) is a main concern in the e-commerce community, mainl...
Most existing decision tree inducers are very fast due to their greedy approach. In many real-life applications, however, we are willing to allocate more time to get better decisi...