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Titlebook: Soft Methods for Data Science; Maria Brigida Ferraro,Paolo Giordani,Olgierd Hryni Conference proceedings 2017 Springer International Publi

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发表于 2025-3-21 18:43:44 | 显示全部楼层 |阅读模式
书目名称Soft Methods for Data Science
编辑Maria Brigida Ferraro,Paolo Giordani,Olgierd Hryni
视频video
概述Latest research on Data Analysis and Soft Computing.Results of the 8th International Conference on Soft Methods in Probability and Statistics (SMPS‘2016) held in Rome (Italy) by September 12-14, 2016.
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Soft Methods for Data Science;  Maria Brigida Ferraro,Paolo Giordani,Olgierd Hryni Conference proceedings 2017 Springer International Publi
描述.This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy).. .The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science..
出版日期Conference proceedings 2017
关键词Computational Intelligence; Intelligent Data Analysis; Soft Computing; SMPS 2016; Statistics
版次1
doihttps://doi.org/10.1007/978-3-319-42972-4
isbn_softcover978-3-319-42971-7
isbn_ebook978-3-319-42972-4Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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Asymptotics of Predictive Distributions, . is a class of measurable sets. Conditions for ., almost surely or in probability, are given. Also, to determine the rate of convergence, the asymptotic behavior of . is investigated for suitable constants .. Special attention is paid to .. The sequence . is exchangeable or, more generally, conditionally identically distributed.
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Bayesian Inference for a Finite Population Total Using Linked Data, provided by a covariate which is available in a different file. However the matching steps between the two files is uncertain due to a lack of identification code for the single unit. We propose a fully Bayesian approach which merges the record linkage step with the subsequent estimation procedure.
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A Savage-Like Representation Theorem for Preferences on Multi-acts,erally uncertain: the decision maker only knows the set of possible alternatives where it can range (multi-consequence). A Choquet expected utility representation theorem for a preference relation on multi-acts is provided, relying on a state-independent cardinal utility function defined on the (finite) set of all alternatives.
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978-3-319-42971-7Springer International Publishing Switzerland 2017
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Mean Value and Variance of Fuzzy Numbers with Non-continuous Membership Functions,We propose a definition of mean value and variance for fuzzy numbers whose membership functions are upper-semicontinuous but are not necessarily continuous. Our proposal uses the total variation of bounded variation functions.
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On the Construction of Radially Symmetric Trivariate Copulas,We propose a method to construct a 3-dimensional symmetric function that is radially symmetric, using two symmetric 2-copulas, with one of them being also radially symmetric. We study the properties of the presented construction in some specific cases and provide several examples for different families of copulas.
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