We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
This paper introduces an analysis technique, commutativity analysis, for automatically parallelizing computations that manipulate dynamic, pointer-based data structures. Commutati...
As relational database management systems are applied to non-traditional domains such as scientific data management, there is an increasing need to support queries with semantics ...
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
Augmented Reality (AR) enables users to visualize synthetic information overlaid on a real video stream. Such visualization is achieved by tools that vary depending on the underlyi...