On quantum methods for machine learning problems part II: Quantum classification algorithms.
Farid M. AblayevMarat AblayevJoshua Zhexue HuangKamil KhadievNailya SalikhovaDingming WuPublished in: Big Data Min. Anal. (2020)
Keyphrases
- learning problems
- machine learning algorithms
- learning algorithm
- supervised learning algorithms
- convex optimization problems
- learning models
- supervised learning
- machine learning
- kernel machines
- computational learning theory
- semi supervised learning
- linear support vector machines
- optimization problems
- classification accuracy
- cross validation
- kernel methods
- decision trees
- reinforcement learning
- object recognition
- data mining
- feature selection
- induction algorithms
- binary classification
- convex optimization
- information extraction
- labeled data
- image classification
- support vector machine
- multi class