canonical
发表于 2025-3-25 03:46:49
Artem Eremin,Evgeny Glushkov,Natalia Glushkova,Rolf Lammeringpowerful approach to probabilistic modelling is to represent the observed variables in terms of a number of hidden, or latent, variables. One well-known example of a hidden variable model is the mixture distribution in which the hidden variable is the discrete component label. In the case of continu
Repatriate
发表于 2025-3-25 07:40:45
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excursion
发表于 2025-3-25 13:37:07
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我就不公正
发表于 2025-3-25 16:11:45
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GROUP
发表于 2025-3-25 22:23:31
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新鲜
发表于 2025-3-26 01:28:38
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讨人喜欢
发表于 2025-3-26 04:58:49
Davide Pellecchia,Massimo Paradisoation functions. The novelty of the algorithm has different aspects: First, the learning procedure is accomplished modifying only the variances of the activation functions instead of the weights on the synapses; Secondly, the variances of the radial basis functions are trained by a two stage strateg
FEMUR
发表于 2025-3-26 09:04:16
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insolence
发表于 2025-3-26 14:31:39
Francesco Marmo,Massimo Paradisoation functions. The novelty of the algorithm has different aspects: First, the learning procedure is accomplished modifying only the variances of the activation functions instead of the weights on the synapses; Secondly, the variances of the radial basis functions are trained by a two stage strateg
cipher
发表于 2025-3-26 19:45:41
Cristoforo Demartino,Sicheng Zhou-Ol, jointly organized by the International Institute for Advanced Scientific Studies "Eduardo R. Caianiello" (IIASS), the Societa Italiana Reti Neuroniche (SIREN), the IEEE NNC Italian RIG and the Italian SIG of the INNS. Following the tradition of previous years, we invited three foreign scientist