Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference
Vikas SindhwaniAurelie C. LozanoHa Quang MinhPublished in: CoRR (2012)
Keyphrases
- kernel learning
- high dimensional
- kernel function
- discrete data
- dimensionality reduction
- low dimensional
- multiple kernel learning
- support vector regression
- kernel matrix
- kernel methods
- learning tasks
- feature space
- data points
- semi supervised
- high dimensional data
- input space
- nearest neighbor
- prior knowledge
- pairwise
- additive noise
- data sets
- pattern recognition
- face recognition