Background: The functional sites of a protein present important information for determining its cellular function and are fundamental in drug design. Accordingly, accurate methods...
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
This is an analysis of the computer generated feedback from an industry certification course, as taught as part of a university unit. A method for extracting useful information fr...