Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
Two different types of development tasks are distinguished: Clear and unclear development tasks. Based on hypotheses from organizational theory two different designs of software d...
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
TRANSoM is a collaborative effort among university and industry researchers aimed at producing an intelligent tutoring system for training pilots of remotely operated vehicles (ROV...
Bruce Roberts, Nicholas J. Pioch, William Ferguson
—Enterprise networks are large and complex, and their designs must be frequently altered to adapt to changing organizational needs. The process of redesigning and reconfiguring ...
Xin Sun, Yu-Wei Eric Sung, Sunil Krothapalli, Sanj...