CureMatch shares theories of 'Kolmogorov Complexity' to optimize descriptor selection at AIMed Summit. Just as a picture is worth a thousand words, a single descriptor can have the information content of a thousand descriptors embedded in it. The CureMatch presentation, titled ‘Kolmogorov Complexity, Logical Depth, etc. in Selection of Descriptors for Deep Learning in Medicine’ was given by Igor Tsigelny, Ph.D and Eden Romm, B.S.
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