Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
At-speed functional testing, delay testing, and n-detection test sets are being used today to detect deep submicrometer defects. However, the resulting test data volumes are too hi...
Developers must often diagnose anomalies in programs they only have a partial knowledge of. As a result, they must simultaneously reverse engineer parts of the system they are unf...