Invited: Trainable Discrete Feature Embeddings for Quantum Machine Learning.
Napat ThumwanitChayaphol LortaraprasertRudy RaymondPublished in: DAC (2021)
Keyphrases
- machine learning
- feature vectors
- decision trees
- pattern recognition
- feature set
- learning tasks
- vector space
- artificial intelligence
- natural language processing
- explanation based learning
- active learning
- data mining
- supervised learning
- information extraction
- euclidean space
- neural network
- learning problems
- continuous domains
- discrete geometry
- machine learning methods
- machine learning algorithms
- text classification
- low dimensional
- image features
- support vector machine
- data analysis
- natural language
- computer vision
- information retrieval