We study the domain of dominant competence of six popular classifiers in a space of data complexity measurements. We observe that the simplest classifiers, nearest neighbor and li...
Error correcting codes are widely used in communication and storage applications. Codec complexity has usually been measured with a software implementation in mind. A recent hardw...
Marghoob Mohiyuddin, Amit Prakash, Adnan Aziz, Way...
Software systems are complex and difficult to analyze. Reengineering is a complex activity that usually involves combining different techniques and tools. Moose is an reengineerin...
Moose is a language-independent environment for reverseand re-engineering complex software systems. Moose provides a set of services including a common meta-model, metrics evaluat...
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...