This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
We determine the robust Nash equilibrium (RNE) for a wide range of problems in communications systems and networks that are faced with uncertainty in their parameters’ values. T...
Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela va...
New input technologies (such as touch), recognition based input (such as pen gestures) and next-generation interactions (such as inexact interaction) all hold the promise of more ...
Julia Schwarz, Scott E. Hudson, Jennifer Mankoff, ...
We consider a rather general class of mathematical programming problems with data uncertainty, where the uncertainty set is represented by a system of convex inequalities. We prove...
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...