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knn algorithm  (SoftMax Inc)

 
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    Structured Review

    SoftMax Inc knn algorithm
    Effect <t>on</t> <t>shoulder</t> girdle stabilization exercise inclusion/exclusion from training data for OOD detection of the SPARS9x dataset on: ( a ) FCN Softmax activation; and ( b ) normalized <t>KNN</t> nearest neighbor distance. This figure highlights the resiliency to changes in training class inclusion/exclusion of the KNN algorithm compared to deep learning algorithms for detecting OOD data with this dataset. Note that, even though the mean Softmax activation decreases for the OOD data and increases for the in-distribution classes with shoulder girdle stabilization removed, there is still a slight decrease in AUROC (see Softmax Threshold of b).
    Knn Algorithm, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/k-nn+algorithm/knn+algorithm/pmc07957807-250-4-25
    Average 90 stars, based on 1 article reviews
    knn algorithm - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors"

    Article Title: Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors

    Journal: Sensors (Basel, Switzerland)

    doi: 10.3390/s21051669

    Effect on shoulder girdle stabilization exercise inclusion/exclusion from training data for OOD detection of the SPARS9x dataset on: ( a ) FCN Softmax activation; and ( b ) normalized KNN nearest neighbor distance. This figure highlights the resiliency to changes in training class inclusion/exclusion of the KNN algorithm compared to deep learning algorithms for detecting OOD data with this dataset. Note that, even though the mean Softmax activation decreases for the OOD data and increases for the in-distribution classes with shoulder girdle stabilization removed, there is still a slight decrease in AUROC (see Softmax Threshold of b).
    Figure Legend Snippet: Effect on shoulder girdle stabilization exercise inclusion/exclusion from training data for OOD detection of the SPARS9x dataset on: ( a ) FCN Softmax activation; and ( b ) normalized KNN nearest neighbor distance. This figure highlights the resiliency to changes in training class inclusion/exclusion of the KNN algorithm compared to deep learning algorithms for detecting OOD data with this dataset. Note that, even though the mean Softmax activation decreases for the OOD data and increases for the in-distribution classes with shoulder girdle stabilization removed, there is still a slight decrease in AUROC (see Softmax Threshold of b).

    Techniques Used: Activation Assay

    Related Articles

    Activity Assay:

    Article Title: Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors
    Article Snippet: This is seen as designating the cycling activity as IIN increased the AUROC of Softmax Thresholding from 0.60 to 0.86, but also increased KNN from 0.90 to 0.92. .. Conversely, in b, the KNN algorithm has no such issue with the shoulder girdle stabilization activity, so the advantage that the traditional algorithms have over Softmax cannot be explained by class confusion alone. ..



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