Parallel Approximate Matrix Factorization for Kernel Methods.
Kaihua ZhuHang CuiHongjie BaiJian LiZhihuan QiuHao WangHui XuEdward Y. ChangPublished in: ICME (2007)
Keyphrases
- kernel methods
- matrix factorization
- collaborative filtering
- low rank
- kernel matrix
- recommender systems
- kernel function
- learning problems
- support vector
- missing data
- factorization methods
- machine learning
- negative matrix factorization
- reproducing kernel hilbert space
- feature space
- support vector machine
- learning tasks
- factor analysis
- stochastic gradient descent
- data matrix
- special case
- nonnegative matrix factorization
- active learning
- image processing
- graph kernels
- data sets