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ICML
2010
IEEE
13 years 6 months ago
Robust Formulations for Handling Uncertainty in Kernel Matrices
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib ...
JMLR
2006
87views more  JMLR 2006»
13 years 5 months ago
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
We propose a novel second order cone programming formulation for designing robust classifiers which can handle uncertainty in observations. Similar formulations are also derived f...
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyy...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
13 years 10 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
TSP
2008
124views more  TSP 2008»
13 years 4 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...
COR
2006
112views more  COR 2006»
13 years 5 months ago
A continuous approach to considering uncertainty in facility design
This paper presents a formulation of the facilities block layout problem which explicitly considers uncertainty in material handling costs on a continuous scale by use of expected...
Bryan A. Norman, Alice E. Smith