Titlebook: Analysis of Images, Social Networks and Texts; 8th International Co Wil M. P. van der Aalst,Vladimir Batagelj,Elena Tu Conference proceedin

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An Algorithm for Constructing a Topological Skeleton for Semi-structured Spatial Data Based on Persie article. In the work, the main topological feature for analysis of object is a hole. The application of the developed algorithm to solve the actual problem of geoinformatics in the matching of spatial objects at different scales of map is shown. Comparison of topological skeletons at different tree depths is demonstrated.

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,Digitale Produktion: Bottom-up-Ökonomie,Being more expensive to compute than plain stochastic gradient descent, K-FAC allows the agent to converge a bit faster in terms of epochs compared to Adam on simple reinforcement learning tasks and tend to be more stable and less strict to hyperparameters selection. Considering the latest results w

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Der Mensch im Digitalzeitalter: Sapiens 2.0,ral methods for induction of decision trees and their ensembles based on evolutionary algorithms. The main difference of our approach is using real-valued vector representation of decision tree that allows to use a large number of different optimization algorithms, as well as optimize the whole tree

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Critical Perspectives on Digitising Africae article. In the work, the main topological feature for analysis of object is a hole. The application of the developed algorithm to solve the actual problem of geoinformatics in the matching of spatial objects at different scales of map is shown. Comparison of topological skeletons at different tre

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Electronic Theses and Dissertationso validate our approach on a data about revenue of a large Russian restaurant chain. We pay special attention to solve two problems: data heterogeneity and a high number of correlated features. We describe methods for considering heterogeneity—observations weighting and estimating models on subsampl