Machine learningMachine learning

Semi-supervised Learning

Semi-supervised learning (SSL) is a machine learning paradigm that trains models using a small set of labeled examples together with a much larger pool of unlabeled data. By leveraging the structure inherent in unlabeled data, SSL achieves accuracy closer to fully supervised models while requiring far fewer costly manual labels — making it practical when labeling is expensive, slow, or resource-constrained.

MethodMind'de açSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Chapelle, O., Scholkopf, B., & Zien, A. (Eds.) (2006). Semi-Supervised Learning. MIT Press. ISBN: 978-0-262-03358-9
  2. Zhu, X. (2005). Semi-supervised learning literature survey. Technical Report 1530, University of Wisconsin-Madison. link

Related methods

Referenced by

Active learning BoostingActive Learning Federated LearningActive learning Gaussian mixture modelActive Learning Logistic RegressionActive learning One-class SVMActive Learning Self-supervised LearningActive learning Support vector machineActive Learning Voting EnsembleApriori AlgorithmAssociation RulesBayesian Active LearningBayesian Online LearningBayesian Semi-supervised LearningEnsemble Active LearningEnsemble Online LearningEnsemble Self-supervised LearningEnsemble Semi-supervised LearningFew-shot LearningMetric LearningOnline Active learningOnline Few-shot LearningOnline LearningOnline Semi-supervised learningOnline Transfer learningRegularized Federated LearningRegularized Online LearningRegularized semi-supervised learningRobust Active LearningSelf-supervised Active LearningSelf-supervised Decision TreeSelf-supervised Federated learningSelf-supervised Gaussian Mixture ModelSelf-supervised Gradient BoostingSelf-supervised LearningSelf-supervised Naive BayesSelf-supervised Random ForestSelf-supervised Stacking EnsembleSelf-supervised Support Vector MachineSelf-supervised Transfer learningSemi-supervised Active LearningSemi-supervised Apriori AlgorithmSemi-supervised Association RulesSemi-supervised Autoencoder Anomaly DetectionSemi-supervised BaggingSemi-supervised BoostingSemi-supervised Diffusion ModelSemi-supervised Federated learningSemi-supervised Few-shot LearningSemi-supervised GANSemi-supervised Gaussian Mixture ModelSemi-supervised Gaussian ProcessSemi-supervised Gradient BoostingSemi-supervised Graph Neural NetworkSemi-supervised Isolation ForestSemi-supervised K-meansSemi-supervised K-nearest neighborsSemi-supervised Linear RegressionSemi-supervised Logistic RegressionSemi-supervised LSTMSemi-supervised Metric LearningSemi-supervised Naive BayesSemi-supervised One-class SVMSemi-supervised Online LearningSemi-supervised Transfer LearningSemi-supervised Voting EnsembleTransfer LearningWeakly Supervised Semantic SegmentationWeakly Supervised Variational AutoencoderWeakly supervised vision transformer
ScholarGateSemi-supervised Learning (Semi-supervised Learning (Combined Labeled and Unlabeled Data Training)). Retrieved 2026-06-04 from https://scholargate.app/tr/machine-learning/semi-supervised-learning