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» Finding robust solutions in requirements models
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CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 11 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ICASSP
2011
IEEE
12 years 11 months ago
Robust binary least squares: Relaxations and algorithms
Finding the least squares (LS) solution s to a system of linear equations Hs = y where H, y are given and s is a vector of binary variables, is a well known NP-hard problem. In th...
Efthymios Tsakonas, Joakim Jalden, Björn E. O...
AIPS
2009
13 years 8 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
ANTSW
2010
Springer
13 years 5 months ago
Evaluating the Robustness of Activator-Inhibitor Models for Cluster Head Computation
Activator-inhibitor models have been widely used to explain several morphogenetic processes. They have also been used to engineer algorithms for computer graphics, distributed syst...
Lidia Yamamoto, Daniele Miorandi
ALMOB
2006
138views more  ALMOB 2006»
13 years 7 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh