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One-Class SVM

One-class SVM er en usuperviseret algoritme til detektion af anomalier og nyheder, der lærer en tæt grænse omkring normale træningsdata i et kernel-induceret funktionsrum, og markerer nye observationer, der falder uden for denne grænse, som outliers. Introduceret af Scholkopf et al. i 1999–2001, udvider den SVM-rammeværket til enkeltklasse-indstillingen, hvor ingen mærkede anomalier er tilgængelige.

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One-Class SVM
Autoencoder Anomalidetek…Isolation ForestLocal Outlier Factor (LO…Active Learning Isolatio…Aktiv læring One-class S…Bayesiansk Autoencoder A…Bayesiansk One-Class SVMEnsemble Autoencoder Ano…Ensemble Isolation ForestEnsemble One-Class SVM

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Kilder

  1. Scholkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001). Estimating the support of a high-dimensional distribution. Neural Computation, 13(7), 1443–1471. DOI: 10.1162/089976601750264965 ↗
  2. Tax, D. M. J., & Duin, R. P. W. (2004). Support vector data description. Machine Learning, 54(1), 45–66. DOI: 10.1023/B:MACH.0000008084.60811.49 ↗

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ScholarGate. (2026, June 3). One-Class Support Vector Machine (Novelty and Anomaly Detection). ScholarGate. https://scholargate.app/da/machine-learning/one-class-svm

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Active Learning Isolation ForestAktiv læring One-class SVMAutoencoder AnomalidetektionBayesiansk Autoencoder AnomalidetektionBayesiansk One-Class SVMEnsemble Autoencoder Anomaly DetectionEnsemble Isolation ForestEnsemble One-Class SVMForklarlig Autoencoder AnomalidetektionForklarlig Isolation ForestForklarlig One-Class SVMLocal Outlier Factor (LOF)Online Autoencoder AnomalidetektionOnline Isolation ForestOnline One-Class SVMReguleret Gaussisk Blanding (GMM)Robust Autoencoder Anomaly DetectionRobust Gaussian Mixture ModelRobust Isolation ForestRobust One-Class SVMRobust Support Vector-maskineSelv-overvåget autoencoder anomalidetektionSelf-supervised Isolation ForestSelv-overvåget One-class SVMSemi-overvåget Autoencoder AnomalidetektionSemi-supervised Isolation ForestSemi-supervised One-class SVM

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ScholarGate — One-class SVM (One-Class Support Vector Machine (Novelty and Anomaly Detection)). Hentet 2026-06-15 fra https://scholargate.app/da/machine-learning/one-class-svm · Datasæt: https://doi.org/10.5281/zenodo.20539026