The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Persistent programming languages are targetted primarily at application systems involving complex data structures and relationships, as typi ed by Geographical Information Systems...
""The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mat...
The jGRASP lightweight IDE provides object viewers that automatically generate dynamic, statebased visualizations of objects and primitive variables in Java. Multiple synchronized...
James H. Cross II, T. Dean Hendrix, Larry A. Barow...