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Each single dimension of the data space is partitioned into equal-sized ξ units using a fixed size grid.
We have implemented 4SED algorithm using a fixed size stack.
This keeps the computation time of the estimation task constant using a fixed size matrix multiplication.
A significant problem arises from the need to determine fixed sequence partitions (windows) to overcome the inability of a single sample to provide adequate information about an activity; commonly overcome by using a fixed size sliding window over consecutive samples to extract information either handcrafted or learned features and predicting a single label for all the samples in the window.
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One direct way to implement sliding windows in a user-based or item-based CF system is to rebuild the similarity matrix using data of a fixed size sequence-based window holding the w latest sessions.
The curvature estimation algorithms mentioned above have the shortcoming of using a fixed window size.
Whereas the former which tries to minimize the number of ambulances in use and the latter tries to optimize the demand covered using a fixed fleet size.
Using a fixed step-size requires a large number of steps to guarantee that the transitions between subpopulations take place and disease transmission can occur, which is computationally very demanding in terms of both timing and resources.
This is done using a sliding window of a fixed size to traverse a training corpus, inducing context vectors for the center/target word of the sliding window by summing the index vectors of the neighbouring words in the window.
Instead of using a fixed MC sample size, sampling is continued until either a pre-determined number h of values larger than the observed test statistic t i (i.e. extreme MC samples according to our definition) has been obtained (at MC sample size l, say), or until some maximum number n of MC samples have been calculated.
The most common method for word extraction uses a sliding window of a fixed size.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com