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Technical Reports from 2017

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A Natural Feasible Algorithm That Checks Satisfiability of 2-CNF Formulas and, if the Formulas Is Satisfiable, Finds a Satisfying Vector, Olga Kosheleva and Vladik Kreinovich

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Contradictions Do Not Necessarily Make a Theory Inconsistent, Olga Kosheleva and Vladik Kreinovich

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Derivation of Gross-Pitaevskii Version of Nonlinear Schroedinger Equation from Scale Invariance, Olga Kosheleva and Vladik Kreinovich

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Experimentally Observed Dark Matter Confinement Clarifies a Discrepancy in Estimating the Universe's Expansion Speed, Olga Kosheleva and Vladik Kreinovich

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F-Transform As a First Step Towards a General Approach to Data Processing and Data Fusion, Olga Kosheleva and Vladik Kreinovich

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Negotiations vs. Confrontation: A Possible Explanation of the Empirical Results, Olga Kosheleva and Vladik Kreinovich

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Physical Induction Explains Why Over-Realistic Animation Sometimes Feels Creepy, Olga Kosheleva and Vladik Kreinovich

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Propagation of Probabilistic Uncertainty: The Simplest Case (A Brief Pedagogical Introduction), Olga Kosheleva and Vladik Kreinovich

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The Onsager Conjecture: A Pedagogical Explanation, Olga Kosheleva and Vladik Kreinovich

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Why Triangular Membership Functions Are Often Efficient in F-Transform Applications: Relation to Interval Uncertainty\\ and Haar Wavelets, Olga Kosheleva and Vladik Kreinovich

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Why West-to-East Jetlag Is More Severe: A Simple Qualitative Explanation, Olga Kosheleva and Vladik Kreinovich

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Simplest Polynomial for Which Naive (Straightforward) Interval Computations Cannot Be Exact, Olga Kosheleva, Vladik Kreinovich, and Songsak Sriboonchitta

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Almost All Diophantine Sets Are Undecidable, Vladik Kreinovich

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How to Deal with Uncertainties in Computing: from Probabilistic and Interval Uncertainty to Combination of Different Approaches, with Applications to Engineering and Bioinformatics, Vladik Kreinovich

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Towards Predictive Statistics: A Pedagogical Explanation, Vladik Kreinovich

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Why Some Physicists Are Excited About the Undecidability of the Spectral Gap Problem and Why Should We, Vladik Kreinovich

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How to Estimate Statistical Characteristics Based on a Sample: Nonparametric Maximum Likelihood Approach Leads to Sample Mean, Sample Variance, etc., Vladik Kreinovich and Thongchai Dumrongpokaphan

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How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy, Vladik Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, and Olga Kosheleva

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Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies, Vladik Kreinovich, Olga Kosheleva, and Thongchai Dumrongpokaphan

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Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm, Vladik Kreinovich, Olga Kosheleva, Shahnaz Shahbazova, and Songsak Sriboonchitta

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Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis, Vladik Kreinovich, Olga Kosheleva, and Michael Zakharevich

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Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond, Vladik Kreinovich, Anh H. Ly, Olga Kosheleva, and Songsak Sriboonchitta

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Quantum Ideas in Economics Beyond Quantum Econometrics, Vladik Kreinovich, Hung T. Nguyen, and Songsak Sriboonchitta

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How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, and Olga Kosheleva

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Can Mass Be Negative?, Vladik Kreinovich and Sergei Soloviev