We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Abstract. With sensors and mobile devices becoming ubiquitous, situation monitoring applications are becoming a reality. Data Stream Management Systems (DSMSs) have been proposed t...
The big challenge related to the contemporary research on ubiquitous and pervasive computing is that of seamless integration. For the next generation of ubiquitous and distributed...
Organisations that follow the CMM-road towards software process improvement tend to spend large amounts of money and effort. This is certainly the case in the company ING which le...
Rob J. Kusters, Jos J. M. Trienekens, Wilmar Hasso...