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...
If Kolmogorov complexity [25] measures information in one object and Information Distance [4, 23, 24, 42] measures information shared by two objects, how do we measure information...
We build on our prior work with computer-supported teams performing a complex decision-making task on maps, where the distinction between content and process common ground is prop...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...
Data discretization is defined as a process of converting continuous data attribute values into a finite set of intervals with minimal loss of information. In this paper, we prove...
In this article, we are studying the differences between the European languages using statistical and unsupervised methods. The analysis is conducted in different levels of languag...
Kimmo Kettunen, Markus Sadeniemi, Tiina Lindh-Knuu...