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Titlebook: Building Bridges between Soft and Statistical Methodologies for Data Science; Luis A. García-Escudero,Alfonso Gordaliza,Olgierd Conferenc

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發(fā)表于 2025-3-21 18:06:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Building Bridges between Soft and Statistical Methodologies for Data Science
影響因子2023Luis A. García-Escudero,Alfonso Gordaliza,Olgierd
視頻videohttp://file.papertrans.cn/192/191594/191594.mp4
發(fā)行地址Latest research on Data Analysis and Soft Computing.Covers results of the 10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022).Presents current research on the fusio
學(xué)科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Building Bridges between Soft and Statistical Methodologies for Data Science;  Luis A. García-Escudero,Alfonso Gordaliza,Olgierd  Conferenc
影響因子.Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science..This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness..
Pindex Conference proceedings 2023
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發(fā)表于 2025-3-21 22:51:39 | 只看該作者
Quantentheorie der Mechanismen,combined as a new rule in node splitting. The introduction of fuzzy sets in tree learning improves FST performance and provides robustness to the algorithm when data are missing. FST performance improves significantly over other tree-based machine learning algorithms as demonstrated in public clinical datasets.
板凳
發(fā)表于 2025-3-22 02:52:52 | 只看該作者
https://doi.org/10.1007/978-3-642-91737-0simple random sample. Thus, it is reasonable to treat the aggregated values as random variables. In this paper, the concept of aggregation functions of random variables with respect to a stochastic order is presented. Additionally, four alternatives for the choice of the adequate order are considered and their benefits and drawbacks are studied.
地板
發(fā)表于 2025-3-22 07:45:32 | 只看該作者
https://doi.org/10.1007/978-1-349-13755-8. operator norm and study its interrelation with other metrics on .. In particular we prove the surprising result that . convergence implies weak conditional convergence of the transposed copulas and establish the fact that the topology induced by . is strictly finer than the topology induced by weak conditional convergence.
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https://doi.org/10.1007/978-3-030-17898-7tructures for each occasion and returns a common low-dimensional space which is representative for all occasions. Finally, a real application to three-way data is presented to illustrate the potential of the method.
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發(fā)表于 2025-3-22 16:36:50 | 只看該作者
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發(fā)表于 2025-3-22 18:54:30 | 只看該作者
,The Choice of?an?Appropriate Stochastic Order to?Aggregate Random Variables,simple random sample. Thus, it is reasonable to treat the aggregated values as random variables. In this paper, the concept of aggregation functions of random variables with respect to a stochastic order is presented. Additionally, four alternatives for the choice of the adequate order are considered and their benefits and drawbacks are studied.
8#
發(fā)表于 2025-3-22 23:16:35 | 只看該作者
,Convergence of?Copulas Revisited: Different Notions of?Convergence and?Their Interrelations,. operator norm and study its interrelation with other metrics on .. In particular we prove the surprising result that . convergence implies weak conditional convergence of the transposed copulas and establish the fact that the topology induced by . is strictly finer than the topology induced by weak conditional convergence.
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發(fā)表于 2025-3-23 03:26:31 | 只看該作者
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發(fā)表于 2025-3-23 08:15:52 | 只看該作者
Luis A. García-Escudero,Alfonso Gordaliza,Olgierd Latest research on Data Analysis and Soft Computing.Covers results of the 10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022).Presents current research on the fusio
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