Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Complex shaders must be partitioned into multiple passes to execute on GPUs with limited hardware resources. Automatic partitioning gives rise to an NP-hard scheduling problem tha...
In this paper we investigate the problem of drawing metro maps which is defined as follows. Given a planar graph G of maximum degree 8 with its embedding and vertex locations (e.g...
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
: There is an emerging amount of software for generating and manipulating XML documents. This paper addresses the problem of guaranteeing the validity of dynamically generated XML ...