In a small computer science department without a graduate program, it is sometimes difficult to attract research students. This is particularly true for research in computer visio...
We consider the problem of eliminating redundant Boolean features for a given data set, where a feature is redundant if it separates the classes less well than another feature or ...
Annalisa Appice, Michelangelo Ceci, Simon Rawles, ...
We investigate the task of compressing an image by using different probability models for compressing different regions of the image. In an earlier paper, we introduced a class of...
We introduce a technique that can be used to model the behaviour of protocols. In our model each process within a protocol belongs to a particular class. A set of rules governs th...
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...