Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm.
Hadi DaneshmandManuel Gomez-RodriguezLe SongBernhard SchölkopfPublished in: ICML (2014)
Keyphrases
- sample complexity
- thresholding algorithm
- theoretical analysis
- vc dimension
- learning problems
- learning algorithm
- upper bound
- active learning
- supervised learning
- pac learning
- generalization error
- special case
- lower bound
- training examples
- pac learnability
- sufficient conditions
- sample size
- irrelevant features
- linear threshold
- concept classes
- training set
- model selection
- support vector
- objective function
- data mining
- knn