BACKGROUND The experience of the care a woman receives during pregnancy and childbirth has an immediate and long-lasting effect on her well being. The involvement of patients and clients in health care has increased over the last decades. The Dutch maternity care system offers an excellent opportunity to explore and involve women's suggestions for the improvement of midwifery care in the curren...

Cluster structure in (multicollinear) data can be utilized by pattern recognition methods in order to find adequate subspaces for nonlinear regression. When regressing a particular severely nonlinear function, it is demonstrated that this approach is superior to polynomial PLS. It is also demonstrated that for nonlinear functions, the choice of regressing explained variables onto the explaining...

In order to pose a successful challenge to conventional processor architectures, reconfigurable computing systems must achieve significantly better performance than conventional programmable processors by both greatly reducing the number of clock cycles required to execute a wide range of applications and achieving high clock rates when implemented in deep-submicron fabrication technologies. In...

Deep neural networks have recently achieved state of the art performance thanks to new training algorithms for rapid parameter estimation and new regularizations to reduce overfitting. However, in practice the network architecture has to be manually set by domain experts, generally by a costly trial and error procedure, which often accounts for a large portion of the final system performance. W...

In this paper we develop a novel clustered matrix approximation framework, first showing the motivation behind our research. The proposed methods are particularly well suited for problems with large scale sparse matrices that represent graphs and/or bipartite graphs from information science applications. Our framework and resulting approximations have a number of benefits: (1) the approximation...