Titlebook: Artificial Computation in Biology and Medicine; International Work-C José Manuel Ferrández Vicente,José Ramón Álvarez-S Conference proceedi

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Two-Level Fractional-Factorial Designsputs. For easiness, its properties were incorporated in a step by step manner along successive network versions. In some cases, the version improvement consists in the replacement of a non-biological property by a biologically plausible one. Initially (version 0) the network was merely an scaffold i

小步走路

Asperity

Introduction to Taguchi Methodssymptom in some mental diseases, such as Schizophrenia, they are also experienced by normal, healthy persons. There are several models of the mechanics happening in the brain leading to hallucinations, which involve auditory, language and emotion regions. On the other hand, there is not much empiric

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David Bodoff,Hugo Levevq,Hongtao Zhangwo metrics: precision and recall, both taken from the field of information retrieval. The comparison involved searching a motif on two types of DNA datasets: synthetic and real. On a set a five real databases the average values of precision and recall were 0.866 and 0.798, respectively.

拾落穗

,Adaptation: Deborah Hay and “Call It That”,etaplasticity Multilayer Perceptron (AMMLP) is the application of Metaplasticity in MLPs ANNs trying to improve uniform plasticity of the Backpropagation algorithm. In this paper two different AMMLP algorithms are applied to the MIT-BIH electro cardiograms database and results are compared in terms of network performance and error evolution.

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Introduction to Experimental Design, Big Data fields. Neuroimaging community is one of the most active in looking for effective solutions, like the XNAT project which aims for neuroimaging data acquisition, management and processing. This paper shows the ongoing effort to develop a Semantic Framework to facilitate multidimensional data analysis based on XNAT architecture.

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