Template:Did you know nominations/Sparse Distributed Memory: Difference between revisions
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:* [[File:Symbol possible vote.svg|16px]] The article in currently ineligible for DYK, because it is so poorly written. The article apparently deals with a particularly [[content-addressable memory]] structure that is used as a model for long-term memory, especially for human semantic-memory. Its first "section" contains exactly one sentence: "The general formula is <math>2^n</math> where ''n'' is the number of dimensions of the space, and <math>2^n</math> is the number of feasible memory items", which tells little to the reader. In the example, I suspect that each sentence should be parsed for semantic information, so that some relation between this "formula" and the "example" be suggested. |
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The lede confuses the model and the modelled. There are typographical errors with spacing. The split infinitive should be avoided in the DYK blurb. The article seems very short 2000 characters, which is only 500 over the minimum size. The formatting of the sources often has just a title linked to a technical report, without mentioning that the working paper was published in a conference proceedings; use Google Scholar for publication data. <small><span style="border:1px solid black;padding:1px;">[[User:Kiefer.Wolfowitz|<font style="color:blue;background:yellow;"> '''Kiefer'''</font>]].[[User talk:Kiefer.Wolfowitz#top|Wolfowitz]]</span></small> 09:38, 6 November 2011 (UTC) |
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Revision as of 09:38, 6 November 2011
Sparse Distributed Memory
- ... that Sparse Distributed Memory is used to mathematically model the human long-term memory?
- ALT1:... that you can mathematically model forgetting using Sparse Distributed Memory?
Created by OneThousandTwentyFour (talk). Self nom at 21:12, 3 November 2011 (UTC)
The article in currently ineligible for DYK, because it is so poorly written. The article apparently deals with a particularly content-addressable memory structure that is used as a model for long-term memory, especially for human semantic-memory. Its first "section" contains exactly one sentence: "The general formula is where n is the number of dimensions of the space, and is the number of feasible memory items", which tells little to the reader. In the example, I suspect that each sentence should be parsed for semantic information, so that some relation between this "formula" and the "example" be suggested.
The lede confuses the model and the modelled. There are typographical errors with spacing. The split infinitive should be avoided in the DYK blurb. The article seems very short 2000 characters, which is only 500 over the minimum size. The formatting of the sources often has just a title linked to a technical report, without mentioning that the working paper was published in a conference proceedings; use Google Scholar for publication data. Kiefer.Wolfowitz 09:38, 6 November 2011 (UTC)