Manifest 发表于 2025-3-23 13:42:55
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P. Kacsuk,Z. Farkas,Z. Balatony trial and error until a good fit to the data is obtained. Parametric learning consists of learning the weight values for a given topology of the network. Since the neural functions are given, this learning process is achieved by estimating the connection weights based on the given information. To语源学 发表于 2025-3-23 21:16:02
M. Sutter,T. Jejkal,R. Stotzka,V. Hartmann,M. Hardtlacking in all labelling methods developed for light microscopy alone. Furthermore, a marker substance is required that allows identification of the neuron at low magnification by light microscopy and produces sufficient electron scattering at the fine-structural level for its own unambiguous detect高谈阔论 发表于 2025-3-23 22:59:39
The Grid as a Software Application Provider in a Synchrotron Radiation Facility the lab user can access a defined set of pre-configured . applications. that rely on Grid resources. The pilot application has been in the SRF Elettra.. The model and the intermediate subsystems have been developed and suitably configured. In this chapter we propose (1) a “Software as a Service” moCollected 发表于 2025-3-24 05:28:36
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Topology Design of a Service Overlay Network for e-Science Applicationsdesign and, more specifically, on the choice of the best option within a limited set of topology layouts that allows to fulfill QoS network requirements (bandwidth, delay). The problem is formulated as the minimization of a cost function which takes into account traffic demand and latency. Apart froPalter 发表于 2025-3-24 12:21:22
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Alessio Merlo,Daniele D’Agostino,Vittoria Gianuzzi,Andrea Clematis,Angelo Corana