804 search results - page 74 / 161 » Experiments on Union-Find Algorithms for the Disjoint-Set Da... |
HUC
2011
Springer
12 years 7 months ago
2011
Springer
A key challenge of data-driven social science is the gathering of high quality multi-dimensional datasets. A second challenge relates to design and execution of structured experim...
GRC
2008
IEEE
13 years 9 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
The Web contains a large amount of documents and increasingly, also semantic data in the form of RDF triples. Many of these triples are annotations that are associated with docume...
CIDM
2007
IEEE
13 years 12 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
BMCBI
2010
13 years 8 months ago
2010
Background: Assembling genomic sequences from a set of overlapping reads is one of the most fundamental problems in computational biology. Algorithms addressing the assembly probl...