In a network consisting of several thousands computers, the occurrence of faults is unavoidable. Being able to test the behaviour of a distributed program in an environment where ...
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
We describe and test a software approach to overcoming radiation-induced errors in spaceborne applications running on commercial off-the-shelf components. The approach uses checks...
A flexible software based platform for number plate recognitions applications is described. It breaks the processing into several explicit modules, with the implementation for eac...