PAC-Bayesian Analysis of Co-clustering and Beyond.
Yevgeny SeldinNaftali TishbyPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- bayesian analysis
- computationally feasible
- clustering algorithm
- sample complexity
- nonnegative matrix tri factorization
- pac learning
- vc dimension
- information theoretic
- sample size
- categorical data
- personalized ranking
- relational data
- semi supervised
- upper bound
- mistake bound
- statistically sound
- collaborative filtering
- pac bayesian
- concept class
- variational bayesian inference
- rows and columns
- statistical queries
- text clustering
- theoretical analysis
- data matrix
- concept learning
- simultaneous clustering
- clustering method
- text mining
- special case
- lower bound