MITE 发表于 2025-3-30 09:32:57
Generalized Spatio-Temporal Regression with PDE Penalization,splines or finite differences in time. Thanks to the use of finite elements, the proposed method is able to efficiently model data sampled over irregularly shaped spatial domains, with complicated boundaries. To illustrate the proposed model we present an application to study the criminality in the city of Portland, from 2015 to 2020.暂停,间歇 发表于 2025-3-30 14:53:29
A New Regression Model for the Analysis of Microbiome Data,hlet-multinomial components. We illustrate how this mixture structure can improve a microbiome data analysis to cluster patients into “enterotypes”, which are a classification based on the bacteriological composition of gut microbiota. The comparison between the two models is performed through an application to a real gut microbiome dataset.不遵守 发表于 2025-3-30 19:09:28
http://reply.papertrans.cn/23/2272/227198/227198_53.pngExonerate 发表于 2025-3-30 21:54:58
PcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains,our algorithm was measured by comparing it to the baseline TVI algorithm on a new probabilistic planning domain introduced in this study. Our pcTVI algorithm led to a speedup factor of 20, compared to traditional TVI (on a computer having 32 cores).Cirrhosis 发表于 2025-3-31 02:55:27
http://reply.papertrans.cn/23/2272/227198/227198_55.pngCumulus 发表于 2025-3-31 07:37:54
Clustering Student Mobility Data in 3-Way Networks,nt exchanges represent the set of links between them. The Infomap community detection algorithm is then chosen for partitioning two-mode networks of students’ cohorts to discover different network patterns.Left-Atrium 发表于 2025-3-31 09:32:44
http://reply.papertrans.cn/23/2272/227198/227198_57.png榨取 发表于 2025-3-31 17:24:09
http://reply.papertrans.cn/23/2272/227198/227198_58.png郊外 发表于 2025-3-31 17:45:44
http://reply.papertrans.cn/23/2272/227198/227198_59.png窒息 发表于 2025-4-1 00:03:01
Jackie Xiu Yan,Jun Pan,Honghua Wangint groups. This typically consists in partitioning the observational space into several regions through particular hypersurfaces called decision boundaries. A geometrical analysis of these surfaces allows to highlight properties of the used classifier. In particular, a geometrical classification of