30 search results - page 6 / 6 » Learning spectral graph transformations for link prediction |
NIPS
2008
13 years 6 months ago
2008
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
SAC
2009
ACM
13 years 11 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
In the Netflix Prize competition many new collaborative filtering (CF) approaches emerged, which are excellent in optimizing the RMSE of the predictions. Matrix factorization (M...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...