Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
The advanced electric power grid is a complex real-time system having both Cyber and Physical components. While each component may function correctly, independently, their composi...
Yan Sun, Bruce M. McMillin, Xiaoqing Frank Liu, Da...
Financial companies, engineering firms and even scientists create increasingly larger spreadsheets and spreadsheet programs. The creators of large spreadsheets make errors and mus...
Tudor Antoniu, Paul A. Steckler, Shriram Krishnamu...
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld