Expanding Gaussian kernels for multivariate conditional density estimation.
Daniel T. DavisJenq-Neng HwangPublished in: ICASSP (1996)
Keyphrases
- gaussian kernels
- conditional density estimation
- general loss functions
- monte carlo
- learning rate
- reproducing kernel hilbert space
- kernel function
- gaussian kernel
- feature space
- regression model
- high dimensional feature space
- multiple kernel learning
- kernel methods
- data sets
- least squares
- learning algorithm
- convergence rate
- domain adaptation
- loss function
- maximum likelihood
- active learning
- decision trees