Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.
Manuel Gomez-RodriguezLe SongHadi DaneshmandBernhard SchölkopfPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- sample complexity
- thresholding algorithm
- special case
- pac learning
- theoretical analysis
- vc dimension
- upper bound
- learning problems
- supervised learning
- learning algorithm
- sufficient conditions
- generalization error
- information diffusion
- active learning
- lower bound
- sample size
- pac learnability
- training examples
- linear threshold
- irrelevant features
- learning tasks
- concept classes
- covering numbers
- unsupervised learning
- data points
- number of irrelevant features