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Tackling High Dimensionality in QSP: Guiding Model Order Reduction With Index Analysis. [PDF]

CPT Pharmacometrics Syst Pharmacol
Tillil J, Huisinga W, Knöchel J.
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Approximate Order Dependency Discovery

2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021
Lexicographical order dependencies (ODs) specify orders between list of attributes, and are proven useful in optimizing SQL queries with order by clauses. To find hidden ODs from dirty data in practice, in this paper we make a first effort to study the approximate OD discovery problem, aiming at automatically discovering ODs that hold on the data with ...
Yifeng Jin, Zijing Tan, Weijun Zeng, Shuai Ma 0001   +3 more
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On the Randomized Bernstein Approximation Theorem and the Order of Approximation

Lobachevskii Journal of Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A note on the “order of approximation”

International Journal of Solids and Structures, 1985
In this very short note, a procedure is given for finding the nodal order of error for some finite element models, and one proves the superconvergence of one-dimensional problems of Pin Tong kind.
Taylor, R. L., Zienkiewicz, O. C.
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Approximate quantiles and the order of the stream

Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2006
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independently from some distribution. The distribution is unknown, but the order in which the samples are presented to us will not be completely adversarial.
Sudipto Guha, Andrew McGregor 0001
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On the approximation order of tangent estimators

Computer Aided Geometric Design, 2008
A classic problem in geometric modelling is curve interpolation to data points. Some of the existing interpolation schemes only require point data, whereas others, require higher order information, such as tangents or curvature values, in the data points.
Gudrun Albrecht, Jean-Paul Bécar, Gerald E. Farin, Dianne Hansford   +3 more
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First order approximation of the ordered binary symmetric channel

Proceedings of 1995 IEEE International Symposium on Information Theory, 1996
In \textit{M. P. C. Fossorier} and \textit{S. Lin}, ``Soft-decision decoding of linear block codes based on ordered statistics'', ibid. 41, 1379-1396 (1995; Zbl 0833.94021); ``Correction'', ibid. 42, 328 (1996), the statistics of the noise after ordering for the additive white Gaussian noise (AWGN) channel model have been derived.
Marc P. C. Fossorier, Shu Lin 0001
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Second-Order Approximations of Ascertainment Probabilities

Biometrics, 1980
A second-order correction is derived for the usual first-order order approximation to the probability of ascertaining a pedigree. Both the first- and second-order approximations are compared to the exact ascertainment probability for selected examples of monogenic and polygenic traits.
Hodge, Susan E., Greenberg, David A., Rotter, Jerome I., Lange, Kenneth L.   +3 more
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