4591 search results - page 8 / 919 » Learning from Dyadic Data |
BMCBI
2010
13 years 6 months ago
2010
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
ML
2006
ACM
13 years 6 months ago
2006
ACM
ACL
2011
2011
Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
12 years 10 months ago
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...