We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Background: Application of phenetic methods to gene expression analysis proved to be a successful approach. Visualizing the results in a 3-dimentional space may further enhance th...
This paper focuses on the protection of virtual circuits (Label Switched Paths, LSPs) in a (G)MPLS (Generalised Multi-Protocol Label Switching) network. The proposed algorithm is ...
Network-on-Chip (NoC) architectures have been adopted by a growing number of multi-core designs as a flexible and scalable solution to the increasing wire delay constraints in the...
Avinash Karanth Kodi, Ashwini Sarathy, Ahmed Louri
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...