A novel representation of candidate solutions is designed for the selection of pickup nodes.
The success of these methods, however, depends mainly on the quality of the representation of candidate solutions, on the efficiency of the initialization procedure and on the suitability of the modification operators used.
The downstream representation of candidate relations for judgment by Turkers relied on identification of all mentions, to highlight them in context.
The distribution of this measure in our 100 samples is then compared with its distribution in a randomized version of our spatial representation of the candidates, where candidate positions are kept but candidate identities are shuffled.
We further improve on this approach by introducing the Semantic Label Propagation (SLP) method, which uses the similarity between low-dimensional representations of candidate training instances to again extend the (filtered) training set in order to increase recall while maintaining high precision.
GA is implemented as a computer simulation in which a population of abstract representations of candidate solutions to an optimization problem evolves toward better solutions.
DAVID looks for over-representation of candidate genes in signaling or metabolic pathways, Gene Ontology processes, etc., based on available gene annotation.
To determine whether our representation of the candidates in the principal components space reflects the structural clusters found by LocARNA for the different k levels, we calculate the proportion of correct assignments, which measures the ratio of cluster members that are closer to their assigned cluster centroid as opposed to a centroid of another cluster.
In a second step, we observe that known pre-miRNAs tend to populate a specific region of the multidimensional space defined by the principal components of a vectorial representation of all candidate structures.
The same goes for the representation of the candidate countries.
Furthermore, using samples of the candidate set, we show that the relative positions of the representations of the candidates in the feature space are reminiscent of the partitions derived from a conventional clustering performed with the state-of-the-art sequence/structure alignment tool LocARNA (Will et al., 2007).
