The central idea in reference modeling is the reutilization of the business knowledge contained in a reference model. The user's task in reference model-based construction is ...
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
We present Ensemble, a message-passing implementation methodology, applied to PVM. Ensemble overcomes problems and complexities in developing applications in messagepassing enviro...
Cerebellar models have long been advocated as viable models for robot dynamics control. Building on an increasing insight in and knowledge of the biological cerebellum, many model...