37 search results - page 4 / 8 » Evolving from a Traditional Distance Learning Model to e-Lea... |
94
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PKDD
2005
Springer
15 years 3 months ago
2005
Springer
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
106
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JMLR
2010
14 years 4 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
115
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SMI
2008
IEEE
15 years 3 months ago
2008
IEEE
In this paper, we introduce a parallel numerical scheme, the lattice Boltzmann method, to shape modeling applications. The motivation of using this originally-designed fluid dyna...
TSMC
2010
14 years 4 months ago
2010
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
IDA
2002
Springer
14 years 9 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...