1709 search results - page 48 / 342 » Comparing the Performance of Database Selection Algorithms |
113
Voted
SSDBM
2005
IEEE
15 years 8 months ago
2005
IEEE
This paper introduces a framework for Phenomena Detection and Tracking (PDT, for short) in sensor network databases. Examples of detectable phenomena include the propagation over ...
114
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INFOCOM
2002
IEEE
15 years 7 months ago
2002
IEEE
—In MPLS/GMPLS networks, a range of restoration schemes will be required to support different tradeoffs between service interruption time and network resource utilization. In lig...
169
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ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
140
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AMR
2007
Springer
15 years 8 months ago
2007
Springer
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
117
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BIBE
2007
IEEE
15 years 6 months ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...