Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
The goal of my ongoing work is to provide an architecture for developing and manipulating modular ontologies in such a way that each ontology module can plug into or unplug from a...
In this paper, we propose fast and efficient techniques to analyze the power grid with accurate modeling of the transistor network. The solution techniques currently available for...
Anand Ramalingam, Giri Devarayanadurg, David Z. Pa...
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
Alternative splicing (AS) is an important and frequent step in mammalian gene expression that allows a single gene to specify multiple products, and is crucial for the regulation ...
Ofer Shai, Brendan J. Frey, Quaid Morris, Qun Pan,...