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The "Learning Algorithm" is a machine-learning algorithm that is capable of identifying the relevant characteristics of the Inputs, then storing that information in a data structure (forming the Trained Algorithm).
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As it is with filter, tvfilter multiplies the magnitudes of the analysis FFT against the magnitudes of the input sound's FFT, while preserving the frequency/phase characteristics of the input sound.
In order to guarantee reconfiguration, the design is constituted of interconnected stages that can be activated depending on the characteristics of the input signal.
The local and remote platform is coupled by delaying position, position-velocity and impedance reflection characteristics of the input interaction forces between human master and slave environment.
Its generating parameters can be optimally determined by employing a particle swarm optimization algorithm according to various characteristics of the input data.
Due to the limitations of the training set size and the characteristics of the input features we propose an ensemble of simple classifiers derived by both subsampling the training set and subsampling the input features.
More specifically, the target is to predict the characteristics of the input light stimulus (in terms of on off timing, duration and intensity) from the measured electrical response – leading to an inverse problem.
The modular workflow allows comprehensive parameter tests and error assessments that are used for a calibration of the module parameters with respect to various characteristics of the input data (e.g noise, scanning resolution, and the number of scan positions).
Finally, we found out that the accuracy of the crowdsourced results for all experiments is hardly influenced by characteristics of the input point cloud data and of the users.
Importantly, each regression function is associated with a classifier in order to determine which regression functions are required in the synthesis procedure in accordance with the particular characteristics of the input image.
In addition, the proposed constant-transconductance technique does not depend on the I V characteristics of the input transistors it is therefore compatible with modern submicron CMOS devices and does not rely on any accurate matching between the complementary input pairs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com