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We included thus all trials for testing the classifier (disregarding the trial type, correctness, retrieval confidence, or run).
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In the experiment we have shown that it will minimize the number of arithmetic operations involved in recovery process of the Hopfield model but will also ensure correctness of information retrieval from the synaptic matrix from a corrupted dataset as input.
However, one of the positive sides of these methods is the correctness of data retrieval.
Thus, the data signal at the receiver side is not exactly the same as it was at the sender side, which affects the hidden data-retrieval correctness and therefore makes these techniques very challenging.
For this we used all trials of both runs (encoding and retrieval, irrespective of correctness or retrieval confidence), since the number of trials during the transfer test was low (see above).
Due to the small amount of data per run, we included all retrieval data (disregarding correctness or confidence).
We propose the HL-index construction and retrieval algorithms and formally prove their correctness.
In order to check the correctness of this hypothesis, an analysis of the retrieval error versus the actual tropopause pressure was carried out for each station.
The correctness (cr_i) of an image i in the retrieval list varies within the range 0 3 according to user judgement, where 0 corresponds to irrelevant images and 3 corresponds to the most relevant image.
We included all retrieval trials in this analysis (irrespective of correctness or retrieval confidence), since day 1 contained a substantially lower amount of retrieval trials (8 trials per condition, per run).
Since day 1 contained only small amounts of retrieval trials (8 trials per condition, per run), we included all retrieval trials in the analysis (irrespective of correctness or retrieval confidence).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com