Titlebook: Neural Nets WIRN Vietri-99; Proceedings of the 1 Maria Marinaro,Roberto Tagliaferri Conference proceedings 1999 Springer-Verlag London Limi

Pierce

书目名称Neural Nets WIRN Vietri-99影响因子(影响力)




书目名称Neural Nets WIRN Vietri-99影响因子(影响力)学科排名




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书目名称Neural Nets WIRN Vietri-99被引频次




书目名称Neural Nets WIRN Vietri-99被引频次学科排名




书目名称Neural Nets WIRN Vietri-99年度引用




书目名称Neural Nets WIRN Vietri-99年度引用学科排名




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书目名称Neural Nets WIRN Vietri-99读者反馈学科排名

Biofeedback

Mawkish

978-1-4471-1226-6Springer-Verlag London Limited 1999

Cabg318

Neural Nets WIRN Vietri-99978-1-4471-0877-1Series ISSN 1431-6854

起来了

Polynomial Clusterons Exhibit Statistical Estimation AbilitiesThe aim of this paper is to investigate the behavior of neural clusterons that learn in an unsupervised fashion by means of an information-theoretic based rule. Particularly the aim is to investigate on the clusteron’s statistical estimation abilities that naturally emerge from their learning behaviors.

容易生皱纹

Theory, Implementation, and Applications of Support Vector Machinescal properties of SVMs, then present an implementation of SVMs able to work with training sets of very large size. Finally, we discuss two computer vision applications in which SVMs for both pattern recognition and regression estimation have been successfully employed.

细胞学

PATHY

On Sequential Bayesian Logistic Regressionn Model sequentially. A Gaussian probability density over the parameters of the Logistic model is propagated on a sample by sample basis. Two other approaches, the Laplace Approximation and the Variational Approximation are compared with the state space formulation. Features of the latter approach,

腐烂

Simple Reverberations and the Mindrations [1]. In Part I, a preliminary description is given as to how such reverberations can be created, held and annihilated in a controlled manner. A discussion is then given, in Part II, of the nature of, and problems associated with, modelling the frontal lobes. In particular the manner they may

名次后缀

Computational Intelligence in Hydroinformatics: A Reviewon with the aquatic environment. Many new modeling techniques have been entered in Hydroinformatics successfully. Among them, the application Computational Intelligence methods in Hydroinformatics is a relatively new area of research, even if some successful results have been already obtained. In th