We describe a method for finding ungapped conserved words in rRNA sequences that is effective, utilizes evolutionary information and does not depend on multiple sequence alignment...
Liaofu Luo, Li-Ching Hsieh, Fengmin Ji, Mengwen Ji...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
In this paper, we present a novel approach to exploit the relationships among domain names to improve the cache hit rate for a local DNS server. Using these relationships, an auth...
A primary challenge in multicasting video in a wireless LAN is to deal with the client diversity – clients may have different channel characteristics and hence receive different...
We present an algorithmic framework for learning multiple related tasks. Our framework exploits a form of prior knowledge that relates the output spaces of these tasks. We present...