409 search results - page 23 / 82 » Learning Predictive Clustering Rules |
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
DATAMINE
2006
13 years 8 months ago
2006
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
OSDI
2008
ACM
14 years 8 months ago
2008
ACM
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...