Variational Quantum Approximate Support Vector Machine With Inference Transfer.
Siheon ParkDaniel K. ParkJune-Koo Kevin RheePublished in: CoRR (2022)
Keyphrases
- support vector machine
- multi class
- svm classifier
- image segmentation
- variational methods
- sum product
- quantum computing
- belief networks
- bayesian inference
- machine learning
- bayesian model
- inference in graphical models
- logic circuits
- support vector machine svm
- transfer learning
- variational approximation
- multi class support vector machines
- message passing
- kernel function
- knn
- support vector
- training data
- dirichlet process mixture models
- feature selection
- expectation propagation
- quantum mechanics
- inference process
- variational framework
- probabilistic inference
- hyperplane
- feature space
- exact inference
- dynamic bayesian networks
- cross domain
- support vector regression
- stock market prediction
- sum product algorithm
- training set