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Titlebook: Advances in Neural Networks; Computational Intell Simone Bassis,Anna Esposito,Eros Pasero Conference proceedings 2016 Springer Internationa

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發(fā)表于 2025-3-30 08:33:00 | 只看該作者
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發(fā)表于 2025-3-30 22:21:20 | 只看該作者
Networking Models and Standards,e show how we can name a neural network with a formula and, viceversa, how we can associate a class of neural networks to each formula. Moreover, we introduce the definition of . to stress the strong connection between different neural networks via ?ukasiewicz logical objects.
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發(fā)表于 2025-3-31 01:19:25 | 只看該作者
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發(fā)表于 2025-3-31 12:01:53 | 只看該作者
Hao Gao,Yanling Huang,Danpu LiuThis work deals with model complexity in clustering. Methods to control complexity in unsupervised learning are reviewed. A method that decouples the number of clusters from clustering model complexity is presented and its properties are discussed with the help of experiments on benchmark data sets.
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發(fā)表于 2025-3-31 16:12:58 | 只看該作者
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發(fā)表于 2025-3-31 20:43:46 | 只看該作者
https://doi.org/10.1007/978-3-030-99200-2evice for stereotactic neuro-radiosurgery to deal with inaccessible or insufficiently treated lesions with traditional surgery or radiotherapy. The target to be treated with radiation beams is currently contoured through slice-by-slice manual segmentation on MR images. This procedure is time consumi
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發(fā)表于 2025-3-31 23:16:26 | 只看該作者
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