Technical Reports from 2022
Why Quantiles Are a Good Description of Volatility in Economics: An Alternative Explanation, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, and Kittawit Autchariyapanitkul
Why Decreased Gaps Between Brain Cells Cause Severe Headaches: A Symmetry-Based Geometric Explanation, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
Why Shapley Value and Its Variants Are Useful in Machine Learning (and in Other Applications), Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, and Nguye Ngoc Thach
Why Exponential Almon Lag Works Well in Econometrics: An Invariance-Based Explanation, Laxman Bokati and Vladik Kreinovich
Why Micro-Size Objects Affect the Flow Much More than Larger Ones: A Geometric Explanations with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Building Preservation, Laxman Bokati and Vladik Kreinovich
Why Smaller-Size Objects Affect the Flow Much More than Larger Ones: A Geometric Explanation with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Building Preservation, Laxman Bokati and Vladik Kreinovich
Why Time Seems to Pass Slowly for Unpleasant Experiences and Quickly for Pleasant Experiences: An Explanation Based on Decision Theory, Laxman Bokati and Vladik Kreinovich
Why Rectified Power (RePU) Activation Functions Are Efficient in Deep Learning: A Theoretical Explanation, Laxman Bokati, Vladik Kreinovich, Joseph Baca, and Natasha Rovelli
A Possible Common Mechanism Behind Skew Normal Distributions in Economics and Hydraulic Fracturing-Induced Seismicity, Laxman Bokati, Aaron Velasco, Vladik Kreinovich, and Kittawit Autchariyapanitkul
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
Towards Optimal Techniques Intermediate Between Interval and Affine, Affine and Taylor, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
Search Under Uncertainty Should be Randomized: A Lesson From the 2021 Nobel Prize in Medicine, Martine Ceberio and Vladik Kreinovich
Why Convex Combination Is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation, Kelly Cohen, Olga Kosheleva, and Vladik Kreinovich
Computational Paradox of Deep Learning: A Qualitative Explanation, Jonatan Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
One More Physics-Based Explanation for Rectified Linear Neurons, Jonatan Contreras, Martine Ceberio, and Vladik Kreinovich
Anomaly Detection in Crowdsourcing: Why Midpoints in Interval-Valued Approach, Alejandra De La Pena, Damian L. Gallegos Espinoza, and Vladik Kreinovich
Why Optimization Is Faster than Solving Systems of Equations: A Qualitative Explanation, Siyu Deng, Bimal K. C, and Vladik Kreinovich
Word Representation: Theoretical Explanation of an Empirical Fact, Leonel Escapita, Diana Licon, Madison Anderson, Diego Pedraza, and Vladik Kreinovich
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set, Juan Carlos Figueroa-Garcia, Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
How to Detect the Fundamental Frequency: Approach Motivated by Soft Computing and Computational Complexity, Eric Freudenthal, Olga Kosheleva, and Vladik Kreinovich
Resource Allocation for Multi-Tasking Optimization: Explanation of an Empirical Formula, Alan Gamez, Antonio Aguirre, Christian Cordova, Alberto Miranda, and Vladik Kreinovich
Aquatic Ecotoxicology: Theoretical Explanation of Empirical Formulas, Demetrius R. Hernandez, George M. Molina Holguin, Francisco Parra, Vivian Sanchez, and Vladik Kreinovich
When Is Deep Learning Better and When Is Shallow Learning Better: Qualitative Analysis, Salvador Robles Herrera, Martine Ceberio, and Vladik Kreinovich
How to Reach a Joint Decision with the Smallest Need for Compromise, Sofia Holguin and Olga Kosheleva
How Hot Is Too Hot, Sofia Holguin and Vladik Kreinovich
How Order and Disorder Affect People's Behavior: An Explanation, Sofia Holguin and Vladik Kreinovich
Shape of an Egg: Towards a Natural Simple Universal Formula, Sofia Holguin and Vladik Kreinovich
Hawthorne Effect: An Explanation Based on Decision Theory, Sofia Holguin, Vladik Kreinovich, and Nguyen Hoang Phuong
Why Sine Membership Functions, Sofia Holguin, Javier Viaña, Kelly Cohen, Anca Ralescu, and Vladik Kreinovich
Why Quantile Regression Works Well in Economics: A Partial Explanation, Olga Kosheleva, Vassilis G. Kaburlasos, Vladik Kreinovich, and Roengchai Tansuchat
A General Commonsense Explanation of Several Medical Results, Olga Kosheleva and Vladik Kreinovich
A Natural Causality-Motivated Description of Learning, Olga Kosheleva and Vladik Kreinovich
Can Physics Attain Its Goals: Extending D'Agostino's Analysis to 21st Century and Beyond, Olga Kosheleva and Vladik Kreinovich
Commonsense-Continuous Dynamical Systems -- Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis, Olga Kosheleva and Vladik Kreinovich
Discrete Causality Implies Lorenz Group: Case of 2-D Space-Times, Olga Kosheleva and Vladik Kreinovich
How Probable is a Revolution? A Natural ReLU-Like Formula that Fits the Historical Data, Olga Kosheleva and Vladik Kreinovich
How to Deal with Conflict of Interest Situations When Selecting the Best Submission, Olga Kosheleva and Vladik Kreinovich
How to Represent Uncertainty via Qudits: Probability Distributions, Regular, Intuitionistic, and Picture Fuzzy Sets, F-Transforms, etc., Olga Kosheleva and Vladik Kreinovich
How to Solve the Apportionment Paradox, Olga Kosheleva and Vladik Kreinovich
Invariance Explains Empirical Success of Many Intelligent Techniques, Olga Kosheleva and Vladik Kreinovich
Macrocausality Implies Lorenz Group: A Physics-Related Comment on Guts's Results, Olga Kosheleva and Vladik Kreinovich
Need for Techniques Intermediate Between Interval and Probabilistic Ones, Olga Kosheleva and Vladik Kreinovich
Physical Trajectories Are Smooth, with Velocities at Least As Continuous As Brownian Motion, Olga Kosheleva and Vladik Kreinovich
Why Aspirational Goals: Geometric Explanation, Olga Kosheleva and Vladik Kreinovich
Why Hate: Analysis Based on Decision Theory, Olga Kosheleva and Vladik Kreinovich
Why in MOND -- Alternative Gravitation Theory -- a Specific Formula Works the Best: Complexity-Based Explanation, Olga Kosheleva and Vladik Kreinovich
Why People Tend to Overestimate Joint Probabilities, Olga Kosheleva and Vladik Kreinovich
Why Rejuvenation Attempts Often Lead to Cancer and Why Cyclic Rejuvenation Is Better: A Simple Qualitative Explanation, Olga Kosheleva and Vladik Kreinovich
Why Should Exactly 1/4 Be Returned to the Original Owner: An Economic Explanation of an Ancient Recommendation, Olga Kosheleva and Vladik Kreinovich
Why Would Anyone Invest in a High-Risk Low-Profit Enterprise?, Olga Kosheleva and Vladik Kreinovich