275 search results - page 49 / 55 » Scalable Data Mining with Model Constraints |
114
Voted
NIPS
2003
15 years 5 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
138
Voted
SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
156
Voted
SEMWEB
2009
Springer
15 years 10 months ago
2009
Springer
The Virtual Solar-Terrestrial Observatory (VSTO) is a distributed, scalable education and research environment for searching, integrating, and analyzing observational, experimental...
178
Voted
WWW
2009
ACM
16 years 4 months ago
2009
ACM
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
132
click to vote
SAC
2009
ACM
15 years 10 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...