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machine learning classifiers and statistical tools  (MathWorks Inc)


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    MathWorks Inc machine learning classifiers and statistical tools
    Machine Learning Classifiers And Statistical Tools, supplied by MathWorks 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/statistics+machine+learning+tool/pmc10146632-92-8-5
    Average 90 stars, based on 1 article reviews
    machine learning classifiers and statistical tools - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies
    Article Snippet: [ ] , 2020 , MATLAB , Used machine learning classifiers and statistical tools to model athlete performance.

    Article Title: Gender differences of heart rate variability in patients with ischemic stroke
    Article Snippet: Some machine learning classifiers implemented in Matlab discovered additional variables with good discrimination performances over the two classes, men and women, which may be explained by the differences in medians and their associated notches of those variables, reflected in Figure 2.

    Article Title: Towards an Online Seizure Advisory System—An Adaptive Seizure Prediction Framework Using Active Learning Heuristics
    Article Snippet: V.R.K.R. mainly conducted this research with the guidance of the co-authors; H.J.A. performed the simulation and comparision of different machine learning classifiers in MATLAB, D.V.L. took part in preparing the manuscript and description of the framework, N.M. was involved in proofreading, editing of this paper and providing guidance in presenting the results in a better way.

    Article Title: Human Activity Recognition via Hybrid Deep Learning Based Model
    Article Snippet: All the machine learning classifiers are analyzed in MATLAB 2021a, while deep learning experiments are performed in python, using Keras framework with backend TensorFlow and Scikit-learn in this research implementation.

    Article Title: R400: A novel gene signature for dose prediction in radiation exposure studies in humans
    Article Snippet: This time, the two datasets GSE58613 and GSE65292 were normalized and combined and used to train machine learning classifiers in Matlab.

    Article Title: Accepted Abstracts from the International Brain Injury Association’s 13th World Congress on Brain Injury
    Article Snippet: Regions showing positive and negative correlation with the headache sub-scale of the Rivermead test were extracted and entered as features (Restricted) into machine learning classifiers (k-nearest neighbor (KNN), support vector machine, and Tree algorithms) using Matlab.

    Functional Assay:

    Article Title: Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points
    Article Snippet: .. The machine learning classifiers were implemented in MATLAB (Mathworks, Natick, MA, USA) or Weka (The University of Waikato, New Zealand) to assess the effectiveness of structural and functional ophthalmic features. ..



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