ML
2008
ACM
13 years 10 months ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
GCB
2009
Springer
14 years 2 months ago
2009
Springer
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
ICDM
2005
IEEE
14 years 4 months ago
2005
IEEE
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...