1. CMU Intellectual Repository

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Results 1-10 of 12 (Search time: 0.002 seconds).
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Issue DateTitleAuthor(s)
1-Jan-2016Which robust versions of sample variance and sample covariance are most appropriate for econometrics: Symmetry-based analysisSongsak Sriboonchitta; Ildar Batyrshin; Vladik Kreinovich
1-Jan-2016Need for most accurate discrete approximations explains effectiveness of statistical methods based on heavy-tailed distributionsSongsak Sriboonchitta; Vladik Kreinovich; Olga Kosheleva; Hung T. Nguyen
1-Jan-2016How to select an appropriate similarity measure: Towards a symmetry-based approachIldar Batyrshin; Thongchai Dumrongpokaphan; Vladik Kreinovich; Olga Kosheleva
1-Jan-2016Bayesian approach to intelligent control and its relation to fuzzy controlKongliang Zhu; Olga Kosheleva; Vladik Kreinovich
1-Jan-2016Empirically successful transformations from non-gaussian to close-to-gaussian distributions: Theoretical justificationThongchai Dumrongpokaphan; Pedro Barragan; Vladik Kreinovich
1-Jan-2016Invariance explains multiplicative and exponential skedactic functionsVladik Kreinovich; Olga Kosheleva; Hung T. Nguyen; Songsak Sriboonchitta
1-Jan-2016Why some families of probability distributions are practically efficient: A symmetry-based explanationVladik Kreinovich; Olga Kosheleva; Hung T. Nguyen; Songsak Sriboonchitta
1-Jan-2016Across-the-board spending cuts are very inefficient: A proofVladik Kreinovich; Olga Kosheleva; Hung T. Nguyen; Songsak Sriboonchitta
7-Nov-2016Membership functions representing a number vs. representing a set: Proof of unique reconstructionHung T. Nguyen; Vladik Kreinovich; Olga Kosheleva
1-Mar-2016Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond ProbabilitiesVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta

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