Telling cause from effect based on high-dimensional observations.
Dominik JanzingPatrik O. HoyerBernhard SchölkopfPublished in: ICML (2010)
Keyphrases
- high dimensional
- low dimensional
- dimensionality reduction
- variable selection
- dimension reduction
- high dimensional data
- high dimensional problems
- high dimensionality
- computer vision
- database
- sparse data
- data sets
- metric space
- parameter space
- search algorithm
- similarity search
- feature space
- gene expression data
- nearest neighbor
- noisy data
- sparse coding
- manifold learning
- kernel function
- mobile robot
- data points