A collaborative virtual environment (CVE) allows remote users to access and modify shared data through networks, such as the Internet. However, when the users are connected via th...
The effects of variations in the workload input when estimating error detection coverage using fault injection are investigated. Results from scanchain implemented fault injection ...
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
We present two new methods for obtaining generalization error bounds in a semi-supervised setting. Both methods are based on approximating the disagreement probability of pairs of ...