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Titlebook: COMPSTAT 2006 - Proceedings in Computational Statistics; 17th Symposium Held Alfredo Rizzi,Maurizio Vichi Conference proceedings 2006 Phys

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31#
發(fā)表于 2025-3-26 22:03:03 | 只看該作者
https://doi.org/10.1007/978-3-031-45335-9 that it does not require the specification of a response variable. On the other hand, the algorithm requires that each observation follows one of the linear patterns in the data. However, it often occurs in practice that part of the data does not follow any of the linear patterns. Therefore, we int
32#
發(fā)表于 2025-3-27 04:15:08 | 只看該作者
33#
發(fā)表于 2025-3-27 08:01:31 | 只看該作者
Street Art and Democracy in Latin Americaperiments the measurements are taken under two experimental conditions. Statistical procedures to identify differentially expressed genes involve a serious multiple comparison problem as we have to carry out as many hypothesis testings as the number of candidate genes in the experiment. If we apply
34#
發(fā)表于 2025-3-27 10:50:02 | 只看該作者
35#
發(fā)表于 2025-3-27 16:45:23 | 只看該作者
36#
發(fā)表于 2025-3-27 18:40:23 | 只看該作者
37#
發(fā)表于 2025-3-28 01:32:48 | 只看該作者
Palgrave Studies in Creativity and Culturenal scene. We do not assume any prior information about the shape of degradation blurs. The proposed approach consists of building a regularized energy function and minimizing it with respect to the original image and blurs, where regularization is carried out in both the image and blur domains. The
38#
發(fā)表于 2025-3-28 03:02:57 | 只看該作者
39#
發(fā)表于 2025-3-28 07:42:37 | 只看該作者
https://doi.org/10.1057/9780230118119se without the financial, social and other costs of imposing interventions that are ultimately ineffective (or even simply not cost effective). The framework is ecological (individual agents and their activities are represented), stochastic (neither individual behavior nor consequences of interventi
40#
發(fā)表于 2025-3-28 10:25:02 | 只看該作者
https://doi.org/10.1057/9780230118119 sizes and subjectivity. The present paper aims to provide an overview of the computational approach to music research. It discusses the issues of music representation, musical feature extraction, digital music collections, and data mining techniques. Moreover, it provides examples of visualization
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