Trainable Discrete Feature Embeddings for Quantum Machine Learning.
Napat ThumwanitChayaphol LortaraprasertHiroshi YanoRudy RaymondPublished in: QCE (2021)
Keyphrases
- machine learning
- learning systems
- knowledge acquisition
- image features
- feature vectors
- machine learning methods
- pattern recognition
- decision trees
- vector space
- computer vision
- machine learning approaches
- quantum computation
- data analysis
- reinforcement learning
- natural language processing
- finite number
- dimensionality reduction
- discrete space
- discrete geometry
- discrete version
- quantum inspired
- learning tasks
- feature set
- information extraction
- knowledge discovery
- knowledge representation
- knowledge base
- learning algorithm