Co-occurring keywords · papers mentioning both
Papers
Graph Laplacian Regularization for Large-Scale Semidefinite Programming
NeurIPS 2006
Modeling Dyadic Data with Binary Latent Factors
NeurIPS 2006
Nonnegative Sparse PCA
NeurIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization
NeurIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
NeurIPS 2006
Recursive Attribute Factoring
NeurIPS 2006
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
JMLR 2005