We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Current methods to represent system or task usability in a single metric do not include all the ANSI and ISO defined usability aspects: effectiveness, efficiency & satisfactio...
: In this article we present a method for estimating the effort of software projects following an evolutionary, object-oriented development paradigm. Effort calculation is based on...
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
Ben Blum, Michael I. Jordan, David Kim, Rhiju Das,...
Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotion...