Quantum Energy Regression using Scattering Transforms.
Matthew J. HirnNicolas PoilvertStéphane MallatPublished in: CoRR (2015)
Keyphrases
- regression model
- energy consumption
- energy minimization
- regression problems
- minimum energy
- linear regression
- quantum computation
- polynomial regression
- energy saving
- low energy
- quantum inspired
- support vector regression
- energy efficiency
- ridge regression
- support vector
- locally weighted
- regression algorithm
- regression methods
- single image
- model selection
- gaussian process regression
- energy efficient
- gaussian processes
- energy distribution
- three dimensional
- quantum evolutionary algorithm