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Then decision boundary for the left group of y=−1 will be improved step by step because inputs close to the estimated decision boundary must be selected as explained in Section 3. On the other hand, the inputs with y=−1 in the right group are rarely sampled, and so the estimated decision boundary near the right group will not appear for a long time.
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In proposed asymmetrical FLC algorithm, the fuzzy functions of error input close to zero are used for fine-tuning, and the error input away from zero are used for coarse tuning.
In this model, inputs values close to each other were necessary to obtain a 100%% of the mutation score.
We also give an S-procedure-based upper bound for antagonistic control, applicable in cases when the objective and constraints can be described by quadratic inequalities, and use this to verify on examples that our method yields inputs very close to the (global) worst-case.
In this context, the work also presented opportunities in which emerging technologies such as RFID, which carry a high potential as tracking data sources, would significantly enhance the modeling efforts by provisioning the models with context-specific empirical inputs as close to real time as possible.
If the frequency of the harmonic component of the input is close to an eigenfrequency of the system, operational modal analysis procedures fail to identify the modal parameters accurately.
In this case, the error values have been taken from the field test campaigns of the 3GPP, which provides a reliable manner to generate the input parameters close to the reality.
Regression of log-transformed Cy3 signals versus log RNA input was close to 1 for most probes with log signal >1.5 (Supplementary Fig. S1), which indicates proper scaling.
The new deconvolution estimator yields an estimated input that is close to the actual input and that leads to improvements in terms of MSE and PSNR for performance.
These inputs are closer to (I_{mathrm {pocket}}) than are other rostral inputs that do not reveal bistability.
In the learning process, the flow structure of the neural dynamics is modified so that the neural dynamics in the absence of inputs come closer to the learned target patterns.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com