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Technical Reports from 2016

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How to Make a Solution to a Territorial Dispute More Realistic: Taking into Account Uncertainty, Emotions, and Step-by-Step Approach, Mahdokhat Afravi and Vladik Kreinovich

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What If We Use Different "And"-Operations in the Same Expert System, Mahdokhat Afravi and Vladik Kreinovich

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How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints, Chitta Baral, Martine Ceberio, and Vladik Kreinovich

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Analysis of the Execution Time Variation of OpenMP-based Applications on the Intel Xeon Phi, Roberto Camacho Barranco and Patricia J. Teller

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Similarity Beyond Correlation: Symmetry-Based Approach, Ildar Batyrshin, Thongchai Dumrongpokaphan, Vladik Kreinovich, and Olga Kosheleva

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Do we have compatible concepts of epistemic uncertainty?, Michael Beer, Scott Ferson, and Vladik Kreinovich

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Why Min-Based Conditioning, Salem Benferhat and Vladik Kreinovich

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Rotation-Invariance Can Further Improve State-of-the-Art Blind Deconvolution Techniques, Fernando Cervantes, Bryan E. Usevitch, and Vladik Kreinovich

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Why Lp-methods in Signal and Image Processing: A Fuzzy-Based Explanation, Fernando Cervantes, Bryan E. Usevitch, and Vladik Kreinovich

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Why Sparse? Fuzzy Techniques Explain Empirical Efficiency of Sparsity-Based Data- and Image-Processing Algorithms, Fernando Cervantes, Bryan E. Usevitch, Leobardo Valera, and Vladik Kreinovich

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Fuzzy Techniques Provide a Theoretical Explanation for the Heuristic l^p-Regularization of Signals and Images, Fernando Cervantes, Bryan E. Usevitch, Leobardo Valera, Vladik Kreinovich, and Olga Kosheleva

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A classification of representable t-norm operators for picture fuzzy sets, Bui Cong Cuong, Vladik Kreinovich, and Roan Thi Ngan

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Empirically Successful Transformations from Non-Gaussian to Close-to-Gaussian Distributions: Theoretical Justification, Thongchai Dumrongpokaphan, Perdo Barragan, and Vladik Kreinovich

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Why Cannot We Have a Strongly Consistent Family of Skew Normal (and Higher Order) Distributions, Thongchai Dumrongpokaphan and Vladik Kreinovich

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How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing, Stephen Escarzaga, Craig Tweedie, Olga Kosheleva, and Vladik Kreinovich

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One Needs to Be Careful When Dismissing Outliers: A Realistic Example, Carlos Fajardo, Olga Kosheleva, and Vladik Kreinovich

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Report on the Roundtable at the Computing Alliance for Hispanic-Serving Institutions (CAHSI) Summit, San Juan, Puerto Rico, September 12, 2015, Ann Q. Gates, Claudia Casas, and Andrea Tirres

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When We Know the Number of Local Maxima, Then We Can Compute All of Them, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich

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Bell-Shaped Curve for Productivity Growth: An Explanation, Olga Kosheleva and Vladik Kreinovich

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Big Data: A Geometric Explanation of a Seemingly Counterintuitive Strategy, Olga Kosheleva and Vladik Kreinovich

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Geometric Symmetries Partially Explain Why Some Paleolithic Signs Are More Frequent, Olga Kosheleva and Vladik Kreinovich

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How to Introduce Technical Details of Quantum Computing in a Theory of Computation Class: Using the Basic Case of the Deutsch-Jozsa Algorithm, Olga Kosheleva and Vladik Kreinovich

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Interpolation Sometimes Enhances and Sometimes Impedes Spatial Correlation: Simple Pedagogical Examples, Olga Kosheleva and Vladik Kreinovich

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On Geometry of Finsler Causality: For Convex Cones, There Is No Affine-Invariant Linear Order (Similar to Comparing Volumes), Olga Kosheleva and Vladik Kreinovich

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Voting Aggregation Leads to (Interval) Median, Olga Kosheleva and Vladik Kreinovich