BID
发表于 2025-3-21 18:39:54
书目名称Neural Nets WIRN VIETRI-98影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0663677<br><br> <br><br>书目名称Neural Nets WIRN VIETRI-98读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0663677<br><br> <br><br>
Friction
发表于 2025-3-21 23:32:00
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lambaste
发表于 2025-3-22 04:15:25
Conference proceedings 1999inary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy,
使人入神
发表于 2025-3-22 07:47:26
Computational Suspiciousness of Learning in Artificial Neural Netsple in the case of the class of linearly separable patterns, we claim that there exists an . algorithm for learning non-suspect concept classes in the representation of multilayered neural networks, whose time complexity is Θ(.p), being . the number of training examples and . the dimension of the parameter space.
MUT
发表于 2025-3-22 11:00:12
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placebo-effect
发表于 2025-3-22 15:04:57
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Tincture
发表于 2025-3-22 17:42:46
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Asymptomatic
发表于 2025-3-22 22:35:48
Support Vector Machine for Nonparametric Binary Hypothesis Testingication of this method to the problem of nonparametric binary hypothesis testing (bayesian setting); the main contribution of this paper is the derivation of the Support Vector algorithm in the case of a generic convex approximation of the binary risk function.
DRAFT
发表于 2025-3-23 04:30:52
Learning the Amplitude of Activation Functions in Layered Networksactivation associated to a given unit of the neural net. Experimental results obtained in a . task with a mixture of Multilayer Perceptrons show a tangible 12.64% word error rate reduction with respect to the standard Back-Propagation training.
Deceit
发表于 2025-3-23 05:37:03
1431-6854 terdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/