1971 search results - page 368 / 395 » A clustering method that uses lossy aggregation of data |
IDA
2007
Springer
13 years 7 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
BMCBI
2007
13 years 7 months ago
2007
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
BMCBI
2011
13 years 2 months ago
2011
Background: Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamic...
PAMI
2011
13 years 2 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...