A supervised learning approach for detecting erroneous samples in embeddings.
Görkem SaygiliPublished in: Turkish J. Electr. Eng. Comput. Sci. (2020)
Keyphrases
- supervised learning
- training samples
- training set
- training examples
- training data
- data sets
- supervised classification
- unsupervised learning
- semi supervised
- active learning
- reinforcement learning
- learning algorithm
- machine learning
- vector space
- learning problems
- data samples
- sample points
- labeled data
- class labels
- automatic detection
- sampling methods
- multiple instance learning
- supervised machine learning
- manifold learning
- learning tasks
- unlabeled data
- dimensionality reduction
- pattern recognition
- case study
- artificial intelligence
- databases