Machine Learning
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Semi-Supervised Learning
Quick Definition
Combining small labeled datasets with large unlabeled data
Full Definition
Combining a small amount of labeled data with a large amount of unlabeled data during training.
Examples
medical image analysis, speech recognition, web classification
Related Terms
supervised-learning
unsupervised-learning
More Machine Learning Terms
Overfitting
When a model learns training data noise and fails on new data
Bagging
Training models on random subsets and averaging predictions
Precision Recall
Metrics measuring positive prediction quality and coverage
Margin
Distance between decision boundary and nearest data points
Autoencoder
Neural network learning compressed data representations
Dropout
Regularization randomly deactivating neurons during training