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Titlebook: Hybrid Artificial Intelligent Systems; 10th International C Enrique Onieva,Igor Santos,Emilio Corchado Conference proceedings 2015 Springer

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發(fā)表于 2025-3-28 15:02:30 | 只看該作者
A Discrete Bat Algorithm for the Community Detection Problemility of the Bat algorithm to successfully discover an optimized community structure based on the quality function used and also demonstrate the limitations of the BA when applied to the community detection problem.
42#
發(fā)表于 2025-3-28 22:00:33 | 只看該作者
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發(fā)表于 2025-3-29 00:29:19 | 只看該作者
Random Forests and Gradient Boosting for Wind Energy Predictionries. Besides a complete exploration of the RFR and GBR application to wind energy prediction, we will show experimentally that both ensemble methods can improve on SVR for individual wind farm energy prediction and that at least GBR is also competitive when the interest lies in predicting wind energy in a much larger geographical scale.
44#
發(fā)表于 2025-3-29 06:03:03 | 只看該作者
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發(fā)表于 2025-3-29 09:03:10 | 只看該作者
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發(fā)表于 2025-3-29 13:23:07 | 只看該作者
Arabic Handwriting Recognition Based on Synchronous Multi-stream HMM Without Explicit Segmentationameters are different. Nevertheless, in the second approach, each word has it own model by concatenating its character models. The results carried out on the IFN/ENIT database show that the analytical approach performs better than the holistic one and the MSHMMs in Arabic handwriting recognition is reliable.
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發(fā)表于 2025-3-29 18:51:49 | 只看該作者
48#
發(fā)表于 2025-3-29 23:39:57 | 只看該作者
0302-9743 oceedings of the 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, held Bilbao, Spain, June 2014. The 60 papers published in this volume were carefully reviewed and selected from 190 submissions. They are organized in topical sections such as data mining and knowledg
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發(fā)表于 2025-3-30 02:11:17 | 只看該作者
50#
發(fā)表于 2025-3-30 07:06:38 | 只看該作者
Motion Capture Systems for Jump Analysisotion capture. In this paper we present the state-of-art motion capture systems for this purpose, from the classical force plates to latest released IMUs. Noise reduction techniques, as an inherent part of motion capture systems, will be reviewed.
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