Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
We present novel algorithms for updating bounding volume hierarchies of objects undergoing arbitrary deformations. Therefore, we introduce two new data structures, the kinetic AAB...
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
The management of policies in large-scale systems is complex because of the potentially large number of policies and administrators, as well as the diverse types of information th...
Nicodemos Damianou, Naranker Dulay, Emil Lupu, Mor...
Electronic Governance (e-Governance) has received a tremendous interest world over. Significant amount of money is being put into making e-Governance a reality. A number of Projec...