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Titlebook: Current Topics in Artificial Intelligence; 10th Conference of t Ricardo Conejo,Maite Urretavizcaya,José-Luis Pérez Conference proceedings 2

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31#
發(fā)表于 2025-3-27 00:07:41 | 只看該作者
Adaptive P2P Multimedia Communication Using Hybrid Learninglowing thesis: both machine learning and intelligent agents will play an important role in the improvement of the aplications we mentioned above. Machine learning, by means of reinforcement learning will provide adaptivity. Intelligent agents will ease P2P computation. This paper focuses on approaches for both topics.
32#
發(fā)表于 2025-3-27 04:01:11 | 只看該作者
33#
發(fā)表于 2025-3-27 07:52:28 | 只看該作者
34#
發(fā)表于 2025-3-27 11:33:05 | 只看該作者
35#
發(fā)表于 2025-3-27 16:31:01 | 只看該作者
36#
發(fā)表于 2025-3-27 21:43:17 | 只看該作者
37#
發(fā)表于 2025-3-27 23:48:30 | 只看該作者
A Flexible Approach to the Multidimensional Model: The Fuzzy Datacubeto support this technology. In this paper, we propose a new multidimensional model that can manage imprecision both in dimensions and facts. Consequently, the multidimensional structure is able to model data imprecision resulting from the integration of data from different sources or even informatio
38#
發(fā)表于 2025-3-28 05:33:37 | 只看該作者
39#
發(fā)表于 2025-3-28 06:48:26 | 只看該作者
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters estimation. The efficiency and accuracy of these type of filters are highly dependent on an appropriate propagation of the particles in time. In this paper we present a new method to improve the propagation step of the regular particle filter. Using results from the theory of importance sampling, o
40#
發(fā)表于 2025-3-28 11:07:56 | 只看該作者
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