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Titlebook: Information Processing and Management of Uncertainty; 15th International C Anne Laurent,Olivier Strauss,Ronald R. Yager Conference proceedi

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樓主: Carter
61#
發(fā)表于 2025-4-1 05:37:55 | 只看該作者
62#
發(fā)表于 2025-4-1 08:51:40 | 只看該作者
63#
發(fā)表于 2025-4-1 11:03:28 | 只看該作者
Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agriculturar of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using .-partite graphs and sequential patterns extracted from segmented Landsat images.
64#
發(fā)表于 2025-4-1 14:27:12 | 只看該作者
Conference proceedings 2014ncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and impr
65#
發(fā)表于 2025-4-1 18:38:45 | 只看該作者
1865-0929 ement of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertaint
66#
發(fā)表于 2025-4-2 02:41:21 | 只看該作者
Uncertainty in Ontology Matching: A Decision Rule-Based Approachtion, are combined to establish these links. The theory of belief functions is a powerful mathematical tool for combining such uncertain information. In this paper, we introduce a decision process based on a distance measure to identify the best possible matching entities for a given source entity.
67#
發(fā)表于 2025-4-2 03:03:01 | 只看該作者
Soft Fusion of Heterogeneous Image Time Seriesthat are based on different assumptions and model distinct desired properties. Conducted experiments on various geographic regions have been carried out and illustrate the effectiveness of our proposal.
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