661 search results - page 63 / 133 » Generalized clustering, supervised learning, and data assign... |
133
Voted
SDM
2009
SIAM
16 years 23 days ago
2009
SIAM
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
169
Voted
SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
131
Voted
BMCBI
2005
15 years 3 months ago
2005
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
117
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
119
Voted
KDD
2005
ACM
16 years 4 months ago
2005
ACM
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...