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Titlebook: Artificial Intelligence: Theories, Models and Applications; 5th Hellenic Confere John Darzentas,George A. Vouros,Argyris Arnellos Conferenc

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樓主: Lincoln
21#
發(fā)表于 2025-3-25 06:49:26 | 只看該作者
22#
發(fā)表于 2025-3-25 10:06:48 | 只看該作者
Erfolgsfaktoren ?gesunder“ Betriebemmaries of product reviews by taking into consideration metadata information that usually accompanies the on-line review text. We demonstrate the effectiveness of our approach with experimental results.
23#
發(fā)表于 2025-3-25 15:13:54 | 只看該作者
24#
發(fā)表于 2025-3-25 18:49:52 | 只看該作者
Evaluation von Gesundheitszirkelnion of the Euclidean space. An illustrative example of a knowledge based system for the conceptual design of grippers for handling fabrics is presented. The advantages of this model are revealed via a comparison with previous implementations of the conceptual design phase based on crisp production rules or certainty factors.
25#
發(fā)表于 2025-3-25 20:44:04 | 只看該作者
https://doi.org/10.1007/978-3-642-56022-4 scheme consisting of a conventional maximum likelihood decision methodology constitutes the next step of our implementation. Despite the fact that our system is based solely on wavelet signal processing, it demonstrated very good performance achieving 91.8% recognition rate.
26#
發(fā)表于 2025-3-26 01:47:00 | 只看該作者
27#
發(fā)表于 2025-3-26 07:36:58 | 只看該作者
A Sparse Regression Mixture Model for Clustering Time-Seriesions for the model parameters in closed forms. The efficiency of the proposed sparse mixture model is experimentally shown by applying it on various real benchmarks and by comparing it with the typical regression mixture and the .-means algorithm. The results are very promising.
28#
發(fā)表于 2025-3-26 09:27:34 | 只看該作者
MOpiS: A Multiple Opinion Summarizermmaries of product reviews by taking into consideration metadata information that usually accompanies the on-line review text. We demonstrate the effectiveness of our approach with experimental results.
29#
發(fā)表于 2025-3-26 13:55:45 | 只看該作者
Item-Based Filtering and Semantic Networks for Personalized Web Content Adaptation in E-Commerceh for personalised web content adaptation can provide different types of interesting recommendations taking into account the current user interaction context in a computationally inexpensive way. It is also respectful of user personal information and unobtrusive with respect to user feedback.
30#
發(fā)表于 2025-3-26 20:25:29 | 只看該作者
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