In recent years, research about distributing databases over networks has become increasingly important. Here we concentrate on the issues of interoperability of heterogeneous DBMS...
Stefan Grufman, Fredrik Samson, Suzanne M. Embury,...
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
To deal with the increasing complexity of embedded real-time systems the model-driven development approach has proven to be beneficial. The reduction of complexity achieved by the ...
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...