Data cubes for OLAP (Online Analytical Processing) often need to be constructed from data located in several distributed and autonomous information sources. Such a data integratio...
composed of various graphs linked together by relations of abstraction/refinement. The new structure is useful for representing information that can be described at t levels of abs...
Graphs are a common means to represent structures in models and meta-models of software systems. In this context, the description of model domains by classifying the domain entitie...
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...