Arbitrary Polynomial Separations in Trainable Quantum Machine Learning.
Eric R. AnschuetzXun GaoPublished in: CoRR (2024)
Keyphrases
- machine learning
- machine learning algorithms
- data analysis
- machine learning methods
- computational biology
- learning algorithm
- feature selection
- knowledge acquisition
- pattern recognition
- active learning
- inductive logic programming
- semi supervised learning
- text classification
- machine learning approaches
- information extraction
- machine learning and data mining
- decision trees
- artificial intelligence
- quantum computing
- explanation based learning
- natural language processing
- supervised machine learning
- quantum mechanics
- application of machine learning methods
- learning tasks
- model selection
- data sets
- supervised learning
- support vector machine
- reinforcement learning
- computer vision
- data mining
- databases