A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Coloring the nodes of a graph with a small number of colors is one of the most fundamental problems in theoretical computer science. In this paper, we study graph coloring in a di...
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
Conducting an Internet measurement study in a sound fashion can be much more difficult than it might first appear. We present a number of strategies drawn from experiences for a...
Class cohesion could be used to evaluate the design quality of classes, to develop test measures for objectoriented software and to restructure poorly designed classes. Among a nu...