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Why neural networks in the first place: a theoretical explanation.

, , , and . J. Intell. Fuzzy Syst., 43 (6): 6947-6951 (2022)

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Robust data processing in the presence of uncertainty and outliers: Case of localization problems., , , and . SSCI, page 1-7. IEEE, (2016)Why neural networks in the first place: a theoretical explanation., , , and . J. Intell. Fuzzy Syst., 43 (6): 6947-6951 (2022)Let Us Use Negative Examples in Regression-Type Problems Too., , , , and . IV, page 296-300. IEEE, (2020)No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow., and . MICAI (2), volume 7095 of Lecture Notes in Computer Science, page 13-23. Springer, (2011)Why polynomial formulas in soft computing, decision making, etc.?, and . FUZZ-IEEE, page 1-5. IEEE, (2010)Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates., , , and . FUZZ-IEEE, page 1-5. IEEE, (2019)How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility., , and . SSCI, page 829-833. IEEE, (2019)Greedy algorithms for optimizing multivariate Horner schemes., and . SIGSAM Bull., 38 (1): 8-15 (2004)Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions., , , and . NAFIPS, volume 751 of Lecture Notes in Networks and Systems, page 246-257. Springer, (2023)Reflecting on Reflection: Integrating Critical Thinking into CS Teaching and Learning Practice., , , , , , , and . SIGCSE, page 1365. ACM, (2021)