On ANOVA Decompositions of Kernels and Gaussian Random Field Paths.
David GinsbourgerOlivier RoustantDominic SchuhmacherNicolas DurrandeNicolas LenzPublished in: MCQMC (2014)
Keyphrases
- gaussian random field
- likelihood function
- maximum likelihood
- generalization error
- sample size
- statistical analysis
- locally linear embedding
- support vector
- shortest path
- feature extraction
- optimal solution
- pattern recognition
- feature space
- prior knowledge
- dimensionality reduction
- data sets
- particle filter
- model selection
- learning algorithm