Incremental approximate matrix factorization for speeding up support vector machines.
Gang WuEdward Y. ChangYen-Kuang ChenChristopher J. HughesPublished in: KDD (2006)
Keyphrases
- matrix factorization
- support vector
- large margin classifiers
- collaborative filtering
- recommender systems
- low rank
- factorization methods
- missing data
- kernel function
- negative matrix factorization
- data sparsity
- support vector machine
- nonnegative matrix factorization
- factor analysis
- data matrix
- variational bayesian
- personalized ranking
- stochastic gradient descent
- low rank matrix
- hyperplane
- logistic regression
- cross validation
- latent factors
- active learning
- latent factor models
- probabilistic matrix factorization
- probabilistic model
- tensor factorization
- factorization method
- loss function