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The typical approach in reconstructing an event like this would be to assemble the details of the story, as told by the involved parties, into a cohesive narrative.
Principal component analysis (PCA) is a typical approach in multivariate analysis [8].
Our work falls into the former category of game-theoretic models but is different than the typical approach in addressing potentially selfish behavior at the MAC layer.
A typical approach in existing research on activity detection is to construct sequence-based models of low-level activity features based on the order of object usage.
Given the low signal-to-noise ratio of these responses versus background EEG, the typical approach in ERP research is to perform univariate statistics across groups, or across experimental conditions, using amplitudes that are measured in the averaged waveform [8].
A typical approach in this context is to resort to the asymptotic theory of Prediction Error Methods for system identification, by means of which ellipsoidal uncertainty regions can be constructed for the uncertain parameters.
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This makes our approach more scalable compared to the typical approaches in parallelized implementations of optimization algorithms, where the global gradient is computed by aggregating the local gradients which are computed on many machines [18].
Typical approaches in this category include a denoising auto-encoder (DAE) that uses fully connected feed-forward DNNs [30, 41] or bidirectional long short-term memory (BLSTM) recurrent neural networks (RNNs) [39].
A typical approach consists in empirically assessing different CNN settings in order to select the most appropriate one.
The typical approach for in silico modelling is to develop a model and then propose its use.
Instead of the typical approach of solving in a larger rectangular domain, our approach performs most calculations only in the desired domain.
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CEO of Professional Science Editing for Scientists @ prosciediting.com