Importance of Kernel Bandwidth in Quantum Machine Learning.
Ruslan ShaydulinStefan M. WildPublished in: CoRR (2021)
Keyphrases
- machine learning
- kernel methods
- kernel function
- inductive learning
- pattern recognition
- machine learning methods
- machine learning algorithms
- information extraction
- feature space
- knowledge acquisition
- classification and regression problems
- channel capacity
- relative importance
- learning systems
- text mining
- support vector machine
- text classification
- bandwidth allocation
- decision trees
- kernel matrix
- artificial intelligence
- computer vision
- data mining
- genetic algorithm
- quantum mechanics
- machine learning approaches
- inductive logic programming
- learning problems
- learning tasks
- natural language
- active learning
- natural language processing
- neural network