Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
Decision support systems that capture, preserve, and reuse implicit knowledge can greatly benefit from explicitly using context. The development of this type of system can benefit...
Johann V. Nguyen, Brian C. Becker, Avelino J. Gonz...
This paper describes the development of the generic collaboration support architecture CAKE incorporating case-based reasoning (CBR). CAKE provides unified access to knowledge avai...
: Today, decision making by users of front office applications happens without analytical information supporting this process. We propose as solution Embedded Analytics (EA) making...
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...