This paper develops and applies neural network (NN) models to forecast regional employment patterns in Germany. Computer-aided optimization tools that imitate natural biological evolution to find the solution that best fits the given case (namely, genetic algorithms, GAs) are also used to detect the best NN structure. GA techniques are compared with more ‘traditional’ techniques which require t...

Local Search meta-heuristics are an emerging class of methods for tackling combinatorial search and optimization problems, which recently have been shown to be very effective for a large number of combinatorial problems. The Local Search techniques are based on the iterative exploration of a solution space: at each iteration, a Local Search algorithm steps from one solution to one of its “neigh...

This paper presents software tools that convert the C/C++ floating point source code for a DSP algorithm into a fixed point simulation model that can be used to evaluate the numerical performance of the algorithm on several different fixed point platforms including microprocessors, DSPs and FPGAs. The tools use a novel system for maintaining binary point information so that the conversion from ...

The InParanoid project gathers proteomes of completely sequenced eukaryotic species plus Escherichia coli and calculates pairwise ortholog relationships among them. The new release 7.0 of the database has grown by an order of magnitude over the previous version and now includes 100 species and their collective 1.3 million proteins organized into 42.7 million pairwise ortholog groups. The InPara...

Model selection is a complicated matter in science, and psychology is no exception. In particular, the high variance in the object of study (i.e., humans) prevents the use of Popper’s falsification principle (which is the norm in other sciences). Therefore, the desirability of quantitative psychological models must be assessed by measuring the capacity of the model to fit empirical data. In the...

The EC FP7/FIRE STREP project NOVI Network Innovation over Virtualized Infrastructures explores efficient approaches to compose virtualized e-Infrastructures towards a holistic Future Internet (FI) cloud service. Resources belonging to various levels, i.e. networking, storage and processing are in principle managed by separate yet inter-working providers. In this ecosystem NOVI aspires to devel...

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This chapter presents some of the basic language engineering preprocessing steps (tokenization, part-of-speech tagging, lemmatization, and sentence and word alignment). Tagging is among the most important processing steps and its accuracy significantly influences any further processing. Therefore, tagset design, validation and correction of training data and the various techniques for improving...