3185 search results - page 271 / 637 » Graphical models for data mining |
103
Voted
VIS
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
143
Voted
FUZZIEEE
2007
IEEE
15 years 10 months ago
2007
IEEE
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
124
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DATE
2005
IEEE
15 years 9 months ago
2005
IEEE
Accurate timing analysis is key to efficient embedded system synthesis and integration. While industrial control software systems are developed using graphical models, such as Ma...
109
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RSFDGRC
2005
Springer
15 years 9 months ago
2005
Springer
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
137
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...