A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression.
Paolo ManfrediRiccardo TrincheroPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2022)
Keyphrases
- gaussian process regression
- electronic circuits
- machine learning
- uncertain data
- handling uncertainty
- gaussian processes
- gaussian process
- probability theory
- parallel processing
- decision trees
- machine learning algorithms
- covariance function
- model selection
- data mining
- feature selection
- learning algorithm
- text mining
- graduate school
- text classification
- bayesian networks
- learning problems
- learning tasks
- semi supervised learning
- generative model
- denoising
- probabilistic model
- prior knowledge