4591 search results - page 8 / 919 » Learning from Dyadic Data |
125
Voted
BMCBI
2010
15 years 1 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
15 years 1 months ago
2006
ACM
87
Voted
ACL
2011
2011
Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
14 years 5 months ago
81
Voted
ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
124
Voted
ICDM
2008
IEEE
15 years 8 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...