Bayesian Optimization in High Dimensional Input Space.
Jaemin SonSamarth GuptaGary TanPublished in: SimuTools (2016)
Keyphrases
- input space
- high dimensional
- dimensionality reduction
- low dimensional
- feature space
- high dimensional data
- data points
- high dimension
- hyperplane
- kernel function
- input data
- high dimensional feature space
- k nearest neighbor
- training set
- maximum likelihood
- receptive fields
- kernel matrix
- knn
- linearly separable
- output space
- bayesian networks
- similarity search
- data sets
- input patterns
- smooth functions
- bayesian inference
- input image
- multi class
- prior knowledge
- pairwise
- learning algorithm