Quantum Kernel Mixtures for Probabilistic Deep Learning.
Fabio A. GonzálezRaúl Ramos-PollánJoseph A. Gallego-MejiaPublished in: CoRR (2023)
Keyphrases
- deep learning
- unsupervised learning
- machine learning
- restricted boltzmann machine
- unsupervised feature learning
- probabilistic model
- mental models
- bayesian networks
- feature space
- support vector
- deep architectures
- weakly supervised
- decision trees
- automatic extraction
- generative model
- learning strategies
- expectation maximization
- maximum likelihood
- denoising
- multi class
- d objects
- feature extraction