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As shown in Fig. 13 (determined case) and Fig. 14 (underdetermined case), the system that was trained by the BRIRs of room D got the best generalization performance and the system trained by the BRIR of room A got the worst.
Compared with Figs. 8 and 9, the SDR performance of the proposed system trained by room D decreases about 4 dB in rooms A and C and increases about 1 dB in rooms B and D, both in determined and underdetermined cases.
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Feature selection procedure can be demonstrated by the following illustrative example of the development of a SVM classification system for predicting DNA-binding proteins: This system is trained by using a Gaussian kernel function with an adjustable parameter σ.
Thus, we optimize our system to achieve the best performance on averaged ranking scores, i.e. for each run, the proposed system is trained by using seven target chemicals in turn and the eighth is used for testing.
The system was "trained" by using expertise extracted from human experts and then transformed into work rules.
In February of 2009, during the planning for the 2009 school year, all teachers of the public school system were trained by one of us (MAA).
The framework is based on using Data Envelopment Analysis (DEA) for calculating efficiency and one of the well-known Artificial Neural Networks (ANNs), namely Multi-Layer Perceptron (MLP) besides an Adaptive Neuro Fuzzy Inference System (ANFIS) trained by two evolutionary methods; particle swarm optimization (PSO) and genetic algorithm (GA) for evaluating effectiveness of the company's workforce.
Vehicle detection systems were trained by three different approaches: the conventional cascade learning approach, the asymmetric boosting approach, and the proposed system.
The recommended relay is based on neuro-fuzzy system which is trained by using four different heuristic algorithms and finally among all of them, PSO with having the best results is elected for proposed relay.
The academy is composed of ten youth selections, ranging from U19 to U7, with over 220 youth players in the system who are trained by professional staff within the club.
Our eventual goal is to introduce a nearly automatic evaluation system that is regularly trained by the audience.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com