Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization.
Ivana NikoloskaOsvaldo SimeonePublished in: IEEE Signal Process. Lett. (2022)
Keyphrases
- training set
- test set
- training samples
- stochastic optimization
- training examples
- quantum computation
- optimization problems
- optimization algorithm
- classifier training
- stochastic programming
- image segmentation
- linear svm
- support vector
- training data
- optimal control problems
- decision trees
- training set size
- sufficient training data
- sum product
- feature selection
- face detection
- artificial neural networks
- hidden markov models
- boosted classifiers
- supervised learning
- trained classifiers
- semi supervised learning
- supervised training
- text classifiers
- labeled images
- discriminative classifiers
- stochastic gradient descent
- monte carlo
- stochastic search
- optimization method
- linear classifiers