Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization.
Ivana NikoloskaOsvaldo SimeonePublished in: CoRR (2022)
Keyphrases
- training set
- test set
- training examples
- training samples
- quantum computation
- stochastic optimization
- training data
- training process
- quantum mechanics
- stochastic programming
- optimization problems
- decision trees
- support vector
- sum product
- labeled training data
- supervised training
- optimization algorithm
- image segmentation
- stochastic search
- data sets
- supervised learning
- sufficient training data
- linear svm
- discriminative classifiers
- training set size
- quantum computing
- training and testing data
- classifier training
- monte carlo
- labeled images
- object detectors
- multi layer perceptron
- machine learning algorithms
- face detection
- naive bayes
- particle swarm optimization
- active learning
- feature space
- genetic algorithm