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Titlebook: Computational Collective Intelligence. Technologies and Applications; 4th International Co Ngoc-Thanh Nguyen,Kiem Hoang,Piotr J?drzejowicz

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樓主: audiogram
31#
發(fā)表于 2025-3-26 22:20:10 | 只看該作者
A Heuristic Method for?Collaborative Recommendation Using Hierarchical User Profiles profile. Criteria measures are used to determine if a solution to a specific algorithm satisfies these postulates. Three integration algorithms are proposed and evaluated, including a heuristic algorithm. In future research, these algorithms will be used in a practical system.
32#
發(fā)表于 2025-3-27 03:21:01 | 只看該作者
Discovering Time Series Motifs Based on Multidimensional Index and Early Abandoning series database and a few times to read the original disk data in order to validate the results. The experimental results showed that our proposed algorithm outperforms the popular method, Random Projection, in efficiency.
33#
發(fā)表于 2025-3-27 09:03:34 | 只看該作者
A Novel Trajectory Privacy-Preserving Future Time Index Structure in Moving Object Databasestion towards future positions of moving objects. Moreover, the prediction model and related strategies are also introduced in order to support location-based applications whereas user privacy is still preserved. Last but not least, privacy analyses and performance experiments show how well the proposed method can help.
34#
發(fā)表于 2025-3-27 10:37:07 | 只看該作者
35#
發(fā)表于 2025-3-27 16:22:45 | 只看該作者
36#
發(fā)表于 2025-3-27 21:24:03 | 只看該作者
A Hybrid Approach of Pattern Extraction and Semi-supervised Learning for Vietnamese Named Entity Reced entities. Semi-supervised learning trains a small amount of seed named entities to categorize named entities in extracted patterns. In experiments, our approach shows good increasing the system accuracy with others in Vietnamese.
37#
發(fā)表于 2025-3-28 01:54:09 | 只看該作者
Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Stru of classifiers. In run-time the ensemble classifies the input video stream into an object and background. Thanks to high discriminative properties of the extended structural tensor and to the diversity of the ensemble of classifiers the method shows very good properties which were shown by experiments on real video sequences.
38#
發(fā)表于 2025-3-28 06:08:38 | 只看該作者
39#
發(fā)表于 2025-3-28 09:16:51 | 只看該作者
40#
發(fā)表于 2025-3-28 13:16:48 | 只看該作者
Partiality, Pursuit and Practice of classifiers. In run-time the ensemble classifies the input video stream into an object and background. Thanks to high discriminative properties of the extended structural tensor and to the diversity of the ensemble of classifiers the method shows very good properties which were shown by experiments on real video sequences.
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