Domain-specific languages offer high expressive power foa particular problem domain, abstracting over the accidental complexity associated with traditional software development. ...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
Background: Protein domains are the structural and functional units of proteins. The ability to parse proteins into different domains is important for effective classification, un...
Chilamakuri C. S. Reddy, Khader Shameer, Bernard O...
This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are id...
In this paper we address the minimum-energy broadcast problem in multi-hop wireless networks, so that all broadcast requests initiated by different source nodes take place on the s...