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Browsing by Author Vladik Kreinovich

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Issue DateTitleAuthor(s)
1-Jan-2018How better are predictive models: Analysis on the practically important example of robust interval uncertaintyVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta; Olga Kosheleva
1-Jan-2014How to detect linear dependence on the copula level?Vladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta
1-Jan-2018How to estimate statistical characteristics based on a sample: Nonparametric maximum likelihood approach leads to sample mean, sample variance, etc.Vladik Kreinovich; Thongchai Dumrongpokaphan
1-Feb-2017How to explain ubiquity of constant elasticity of substitution (CES) production and utility functions without explicitly postulating CESOlga Kosheleva; Vladik Kreinovich; Thongchai Dumrongpokaphan
1-Jan-2022How to Find the Dependence Based on Measurements with Unknown Accuracy: Towards a Theoretical Justification for Midpoint and Convex-Combination Interval Techniques and Their GeneralizationsSomsak Chanaim; Vladik Kreinovich
18-Aug-2014How to fully represent expert information about imprecise properties in a computer system: Random sets, fuzzy sets, and beyond: An overviewHung T. Nguyen; Vladik Kreinovich
1-Jan-2018How to gauge accuracy of processing big data: Teaching machine learning techniques to gauge their own accuracyVladik Kreinovich; Thongchai Dumrongpokaphan; Hung T. Nguyen; Olga Kosheleva
1-Jan-2017How to get beyond uniform when applying Maxent to interval uncertaintySongsak Sriboonchitta; Vladik Kreinovich
1-Feb-2017How to make plausibility-based forecasting more accurateKongliang Zhu; Nantiworn Thianpaen; Vladik Kreinovich
1-Jan-2021How to reconcile maximum entropy approach with intuition: e.g., should interval uncertainty be represented by a uniform distributionVladik Kreinovich; Olga Kosheleva; Songsak Sriboonchitta
1-Jan-2016How to select an appropriate similarity measure: Towards a symmetry-based approachIldar Batyrshin; Thongchai Dumrongpokaphan; Vladik Kreinovich; Olga Kosheleva
1-Jan-2022How to Train A-to-B and B-to-A Neural Networks So That the Resulting Transformations Are (Almost) Exact InversesParavee Maneejuk; Torben Peters; Claus Brenner; Vladik Kreinovich
1-Jan-2016Invariance explains multiplicative and exponential skedactic functionsVladik Kreinovich; Olga Kosheleva; Hung T. Nguyen; Songsak Sriboonchitta
1-Jan-2018Kuznets curve: A simple dynamical system-based explanationThongchai Dumrongpokaphan; Vladik Kreinovich
1-Jan-2018Markowitz portfolio theory helps decrease medicines’ side effect and speed up machine learningThongchai Dumrongpokaphan; Vladik Kreinovich
15-Aug-2007Mathematical foundations for intelligent technologiesHung T. Nguyen; Vladik Kreinovich; Sompong Dhompongsa
1-Jan-2017Maxent-based explanation of why financial analysts systematically under-predict companies’ performanceVladik Kreinovich; Songsak Sriboonchitta
1-Jan-2017Maximum entropy as a feasible way to describe joint distribution in expert systemsThongchai Dumrongpokaphan; Vladik Kreinovich; Hung T. Nguyen
7-Nov-2016Membership functions representing a number vs. representing a set: Proof of unique reconstructionHung T. Nguyen; Vladik Kreinovich; Olga Kosheleva
1-Jan-2017Metric spaces under interval uncertainty: Towards an adequate definitionMahdokht Afravi; Vladik Kreinovich; Thongchai Dumrongpokaphoan
Showing results 21 to 40 of 83 < previous   next >