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Titlebook: Advances in Systems Science; Proceedings of the I Jerzy ?wi?tek,Jakub M. Tomczak Conference proceedings 2017 Springer International Publish

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11#
發(fā)表于 2025-3-23 12:05:47 | 只看該作者
Estimating Cluster Populationly used methods for identifying clusters in Euclidean space is the K-mean algorithm. In using K-mean clustering algorithm it is necessary to know the value of . (the number of clusters) in advance. We present an efficient algorithm for a good estimation of . for points distributed in two dimensions.
12#
發(fā)表于 2025-3-23 14:38:32 | 只看該作者
13#
發(fā)表于 2025-3-23 18:49:47 | 只看該作者
https://doi.org/10.1007/3-540-30326-Xsing the Perturb-and-MAP approach to draw approximate sample from the Gibbs distribution. We evaluate our approach on domain adaptation task between two image corpora: MNIST and Handwritten Character Recognition dataset.
14#
發(fā)表于 2025-3-24 01:13:34 | 只看該作者
The MADS Query and Manipulation Languages,ended, matching and constructive relation recognition problems are considered. It is shown that such problems may arise in various application areas. There are presented possible approaches to the solution of the problems under consideration. It is shown that the extended algebra of relations is sui
15#
發(fā)表于 2025-3-24 05:27:38 | 只看該作者
16#
發(fā)表于 2025-3-24 10:29:22 | 只看該作者
The MADS Query and Manipulation Languages,ly used methods for identifying clusters in Euclidean space is the K-mean algorithm. In using K-mean clustering algorithm it is necessary to know the value of . (the number of clusters) in advance. We present an efficient algorithm for a good estimation of . for points distributed in two dimensions.
17#
發(fā)表于 2025-3-24 12:35:50 | 只看該作者
The Risks Management Application,We show that the MLE (maximum likelihood estimation) in the class of Gaussian densities can be understood as the search for the best coordinate system which “optimally” underlines the internal structure of the data. This allows in particular to the search for the optimal coordinate system when the origin is fixed in a given point.
18#
發(fā)表于 2025-3-24 17:38:59 | 只看該作者
Maximum Likelihood Estimation and Optimal CoordinatesWe show that the MLE (maximum likelihood estimation) in the class of Gaussian densities can be understood as the search for the best coordinate system which “optimally” underlines the internal structure of the data. This allows in particular to the search for the optimal coordinate system when the origin is fixed in a given point.
19#
發(fā)表于 2025-3-24 21:19:23 | 只看該作者
https://doi.org/10.1007/978-3-319-48944-5Systems Science; Intelligent Systems; ICSS 2016; XIX International Conference Systems Science; 19th Inte
20#
發(fā)表于 2025-3-25 00:17:47 | 只看該作者
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