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The simulations are carried out by using as input the synthetic hyetographs derived for three different return periods (T = 2, 5 and 10 years).

The basic idea is to achieve a dimensionality reduction of the input ANN training space by using as input vector the random phase angles of the spectral representation method instead of the random variables describing the uncertain input parameters.

Swindells, J.M. Thornton, CATH a hierarchic classification of protein domain structures, Structure 5 (8) (1997) 1093 1108], and were used for training a feed-forward neural network in order to predict protein fold classes by using as input the dipeptide frequency matrix and as output a novel representation of the protein chains in R30 space, based on knot invariant values [P.

Therefore, this work has assessed whether the data mining-based prediction of Vss can be made more accurate by using as input not only the compounds' molecular descriptors but also (a subset of) their predicted Kt:p values.

The main contribution of this paper is to investigate whether or not the data mining-based prediction of the Vss of chemical compounds can be made more accurate by using as input not only the compounds' molecular descriptors but also computationally predicted tissue:plasma partition coefficients (Kt:p values) for those compounds for a (sub) set of tissues.

a) Is the pseudocell obtained by using as input an experimental network different (i.e. more organized) than one originating from a network with an equivalent number of nodes connected at random? b) If we perform independent simulations with the same input graph, how similar are the structures of the resulting pseudocells?

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The best regression model built by M5P when using as input only the descriptors selected by the genetic search-based CFS method in a preprocessing phase is a Bagging model, consisting of 10 model trees.

The best model built by M5P when using as input the 12 predicted log Kt:p descriptors for different tissues is a regression tree where log Kskin:plasma is the most relevant descriptor, occurring at the tree's root node.

We define as 1-to-1 orthologs those pairwise orthology relations commonly predicted by the RBBH method using as input the aforementioned information.

In the second step, the 56 descriptors selected by CFS are used as input by a decision tree-based regression method.

After the first run, the values of kappa and omega derived by Slr were used as input parameters to confirm convergence.

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