We propose a meta-typicalness approach to apply the typicalness framework for any type of classifiers. The approach can be used to construct classifiers with specified classificati...
Evgueni N. Smirnov, Stijn Vanderlooy, Ida G. Sprin...
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
The method of choice of the software reliability models based on the analysis of assumptions and compatibility both input and output parameters is offered. This method is illustra...
Vyacheslav S. Kharchenko, O. M. Tarasyuk, Vladimir...
This paper addresses the supervised classification of remote-sensing images in problems characterized by relatively small-size training sets with respect to the input feature spac...
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...