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Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond.

, , , and . ECONVN, volume 760 of Studies in Computational Intelligence, page 134-145. Springer, (2018)

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Approximating General Logic Programs., , and . ILPS, page 181-198. MIT Press, (1993)Design of Radix-2 and Radix-4 FFT Processors Using a Modular Architecture Family., , , and . PDPTA, page 589-599. CSREA Press, (1996)How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES., , and . Robustness in Econometrics, volume 692 of Studies in Computational Intelligence, (2017)Compressing 3D Measurement Data Under Interval Uncertainty., , , and . PARA, volume 3732 of Lecture Notes in Computer Science, page 142-150. Springer, (2004)Why Geological Regions?, , and . Decision Making Under Uncertainty and Constraints, 217, Springer, (2023)Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms., , and . FUZZ-IEEE, page 1-7. IEEE, (2022)Let Us Use Negative Examples in Regression-Type Problems Too., , , , and . IV, page 296-300. IEEE, (2020)Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation., , and . IFSA/NAFIPS, volume 1000 of Advances in Intelligent Systems and Computing, page 106-112. Springer, (2019)How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing., , , and . WCSC, volume 361 of Studies in Fuzziness and Soft Computing, page 595-604. Springer, (2016)Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification., , , , , and . NAFIPS/WConSC, page 1-5. IEEE, (2015)