Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization.
Salvatore CuomoWolfgang ErbGabriele SantinPublished in: J. Comput. Appl. Math. (2023)
Keyphrases
- gaussian process
- gaussian processes
- model selection
- bayesian framework
- covariance function
- social networks
- gaussian process models
- hyperparameters
- gaussian process regression
- influence maximization
- regression model
- approximate inference
- latent variables
- human pose estimation
- noise level
- greedy algorithm
- cross validation
- edge detection
- semi supervised
- probabilistic model
- computational complexity
- support vector