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svm-based algorithms  (Informa UK Limited)

 
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    Informa UK Limited svm-based algorithms
    Svm Based Algorithms, supplied by Informa UK Limited, 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/svm-based+algorithms/svm+based+algorithms/10__1080_slash_2150704x__2017__1415475-11-106-45
    Average 90 stars, based on 1 article reviews
    svm-based algorithms - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: A spectral-spatial SVM-based multi-layer learning algorithm for hyperspectral image classification
    Article Snippet: Conventional Markov random field (MRF) or Graph cut (GC) based support vector machine (SVM) methods for hyperspectral image (HSI) classification use MRF or GC to adjust spectral-based SVM results to increase the spatial consistency in an unsupervised way, thus, the pixels on the border and small-sized regions may be misclassified.. In this letter, we propose a new framework of spectral-spatial SVM based multi-layer learning algorithm (SSMLL) for HSI classification.. In the first layer of SSMLL, the spectral-based SVM is adopted to process the original HSI datasets; the nonlinear mapping is used to scale the first layer output and enhance the nonlinear structure in the second layer; in the last layer, the spatial information is incorporated into the SVM to obtain the final classification results in a supervised way.



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    Image Search Results


    Summary of related studies for AI application in periodontology.

    Journal: Healthcare

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

    doi: 10.3390/healthcare10112188

    Figure Lengend Snippet: Summary of related studies for AI application in periodontology.

    Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

    Techniques: Biomarker Discovery, Diagnostic Assay

    Summary of related studies for AI application in orthodontics.

    Journal: Healthcare

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

    doi: 10.3390/healthcare10112188

    Figure Lengend Snippet: Summary of related studies for AI application in orthodontics.

    Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

    Techniques: Biomarker Discovery, Plasmid Preparation, Extraction, Modification

    Summary of related studies for AI application in prosthetic/restorative dentistry.

    Journal: Healthcare

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

    doi: 10.3390/healthcare10112188

    Figure Lengend Snippet: Summary of related studies for AI application in prosthetic/restorative dentistry.

    Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

    Techniques: Biomarker Discovery, Extraction

    Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

    Journal: Ultrasound in medicine & biology

    Article Title: A New Multi-Model Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors

    doi: 10.1016/j.ultrasmedbio.2019.09.004

    Figure Lengend Snippet: Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

    Article Snippet: The ML-based algorithm SVM had excellent diagnostic performance in datasets acquired from Siemens and Philips systems; this result is despite the fact that these two vendors used different elastography techniques.

    Techniques: