Generalization in quantum machine learning from few training data.
Matthias C. CaroHsin-Yuan HuangM. CerezoKunal SharmaAndrew T. SornborgerLukasz CincioPatrick J. ColesPublished in: CoRR (2021)
Keyphrases
- machine learning
- training data
- learning algorithm
- decision trees
- supervised learning
- support vector machine
- pattern recognition
- test data
- machine learning algorithms
- data sets
- prior knowledge
- quantum computation
- learned from training data
- inductive bias
- machine learning methods
- data mining
- training set
- classification accuracy
- reinforcement learning
- training process
- training examples
- learning machines
- classification models
- computer vision
- semi supervised learning
- knowledge acquisition
- text classification
- quantum mechanics
- artificial intelligence
- natural language
- computer science
- active learning
- supervised machine learning
- generalization error
- neural network
- class labels
- support vector
- training samples
- unlabeled data
- text mining
- natural language processing
- domain knowledge
- expert systems