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Titlebook: Advanced Studies in Classification and Data Science; Tadashi Imaizumi,Akinori Okada,Maurizio Vichi Conference proceedings 2020 Springer Na

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樓主: APL
31#
發(fā)表于 2025-3-26 21:24:46 | 只看該作者
Five Strategies for Accommodating Overdispersion in Simple Correspondence Analysisive regions that are increasingly pivotal for the emerging world order, the volume offers a global comparative analysis of contemporary regional contested leadership that will interest scholars and students of international affairs, foreign policy, and area studies.?978-3-030-08837-8978-3-319-73691-4
32#
發(fā)表于 2025-3-27 03:40:20 | 只看該作者
33#
發(fā)表于 2025-3-27 05:44:48 | 只看該作者
34#
發(fā)表于 2025-3-27 12:25:59 | 只看該作者
35#
發(fā)表于 2025-3-27 15:29:12 | 只看該作者
https://doi.org/10.1007/978-3-031-07395-3pt to the different scales of the data and are directly computable from the training data, thus avoiding expensive hyperparameter tuning tasks. Numerical experiments demonstrate that our multiscale kernels lead to superior accuracy and fast speed.
36#
發(fā)表于 2025-3-27 20:32:28 | 只看該作者
Ryuta Nakae,Yasuo Murai,Shoji Yokoborisubset “A,” i.e., a reduced-set containing the important few items.. Using different parameters for the algorithms, the classification performance of all reduced-set random forest classifiers was almost as good as that of a random forest classifier using the full set of .?=?23 lipid markers; all rea
37#
發(fā)表于 2025-3-28 01:52:44 | 只看該作者
Filipe Palavra,Flávio Reis,Armando Senamodel into trees one step further and propose a supervised classification algorithm based on the .-means routine that sequentially splits the data according to the whole feature vector. Results from applications to simulated data are shown to address the potentiality of the proposed method in differ
38#
發(fā)表于 2025-3-28 05:31:06 | 只看該作者
39#
發(fā)表于 2025-3-28 07:58:13 | 只看該作者
40#
發(fā)表于 2025-3-28 14:00:11 | 只看該作者
Exosomes as Radiation Biomarkersobtain the variables representation. In this work, external logistic biplots for binary data are extended to nominal and ordinal data using parametric and nonparametric logistic fits and then combined in a single representation.
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