numerical stability/ regularization methodslip oscillationscontact nodesC 1 continuitylow-order finite element discretizationsThis paper is concerned with a regularization method to avoid slip oscillations of contact nodes resulting from lack of C 1-continuity of low-order finite element discretizations. The...
Theory:AlgorithmicStabilityandGeneralization Bounds by AlexanderRakhlin SubmittedtotheDepartmentofBrainandCognitiveSciences inpartialfulfillmentoftherequirementsforthedegreeof DoctorofPhilosophy atthe MASSACHUSETTSINSTITUTEOFTECHNOLOGY June2006 c MassachusettsInstituteofTechnology2006.Allrightsreserved. ...
and seismic P-wave velocity. These are the targets of what inverse analysis is trying to predict through observational data matching. Several key factors are picked to represent the variability of the targets through the physics-embedded generative model for the stability test. For example, in the...
C. Complete global stability for an sir epidemic model with delay—distributed or discrete. Nonlinear Analysis: Real World Applications 11, 55–59 (2010). Article MathSciNet MATH Google Scholar Donoho, D. L. Compressed sensing. IEEE Transactions on information theory 52, 1289–1306 (2006). ...
One can test many attributes of the modeling or filtering process this way both visually and numerically such as sensitivity, nonlinearity, goodness-of-fit, any overfitting issues, stability, etc. All the computational libraries were written in GNU C and/or Fortran and have been provided as ...
Chang, XY, Xu, ZB, Zou, B, Zhang, H (2011) Generalization bounds of regularization algorithms derived simultaneously through hypothesis space complexity, algorithmic stability and data quality. Int. J. Wavel Multiresolut Inf Process 9: pp. 549-570...
Stability of feature selection algorithm: A review. J. King Saud Univ.-Comput. Inf. Sci. 2019, 34, 1060–1073. [Google Scholar] [CrossRef] Obite, C.P.; Olewuezi, N.P.; Ugwuanyim, G.U.; Bartholomew, D.C. Multicollinearity Effect in Regression Analysis: A Feed forward Artificial ...
Stability of feature selection algorithm: A review. J. King Saud Univ.-Comput. Inf. Sci. 2019, 34, 1060–1073. [Google Scholar] [CrossRef] Obite, C.P.; Olewuezi, N.P.; Ugwuanyim, G.U.; Bartholomew, D.C. Multicollinearity Effect in Regression Analysis: A Feed forward Artificial ...