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