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ACL
2003
13 years 11 months ago
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
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...
Yunbo Cao, Hang Li, Li Lian
CORR
2011
Springer
178views Education» more  CORR 2011»
13 years 4 months ago
Robust Additively Coupled Games
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...
UIST
2010
ACM
13 years 7 months ago
A framework for robust and flexible handling of inputs with uncertainty
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, ...
SIAMJO
2008
85views more  SIAMJO 2008»
13 years 9 months ago
Explicit Reformulations for Robust Optimization Problems with General Uncertainty Sets
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...
Igor Averbakh, Yun-Bin Zhao
AUTOMATICA
2002
80views more  AUTOMATICA 2002»
13 years 9 months ago
Robust control of nonlinear systems with parametric uncertainty
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
Qian Wang, Robert F. Stengel