125 search results - page 14 / 25 » Using Background Knowledge for Graph Based Learning: A Case ... |
ICDM
2002
IEEE
14 years 18 days ago
2002
IEEE
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
WWW
2011
ACM
13 years 2 months ago
2011
ACM
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
BMCBI
2008
13 years 7 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
BMCBI
2006
13 years 7 months ago
2006
Background: Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functiona...