177 search results - page 25 / 36 » Structure-Significant Representation of Structured Datasets |
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can repre...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
CIKM
2006
Springer
14 years 10 days ago
2006
Springer
The ability to retrieve molecules based on structural similarity has use in many applications, from disease diagnosis and treatment to drug discovery and design. In this paper, we...
JMLR
2008
13 years 8 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...