The sheer amount of data produced by modern science research has created a need for the construction and understanding of "data-intensive systems", largescale, distribut...
Chris Mattmann, Daniel J. Crichton, J. Steven Hugh...
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
A core challenge in Business Process Management is the continuous, bi-directional translation between (1) a business requirements view on the process space of an enterprise and (2...
al Partitioning by Predicate Abstraction and its Application to Data Warehouse Design Aleksandar Dimovski1 , Goran Velinov2 , and Dragan Sahpaski2 1 Faculty of Information-Communic...
Aleksandar Dimovski, Goran Velinov, Dragan Sahpask...
We present a formal framework of an autonomous agent as a collection of coordinated control loops, with a recurring sense, plan, act cycle. Our framework manages the information f...