As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
We study a number of natural language decipherment problems using unsupervised learning. These include letter substitution ciphers, character code conversion, phonetic deciphermen...
Kevin Knight, Anish Nair, Nishit Rathod, Kenji Yam...
The Simulink/Stateflow toolset is an integrated suite enabling model-based design and has become popular in the automotive and aeronautics industries. We have previously developed...
Norman Scaife, Christos Sofronis, Paul Caspi, Stav...
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
Requirement analysis continues to be one of the most critical and challenging phases during the software development process. Many object-oriented methodologies identify three pri...
Peter J. Clarke, Yingbo Wang, Tuan L. Cameron, Yal...