548 search results - page 35 / 110 » Iterated importance sampling in missing data problems |
IPSN
2004
Springer
15 years 4 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
170
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ICDE
2003
IEEE
16 years 10 days ago
2003
IEEE
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
107
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JMLR
2010
14 years 5 months ago
2010
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
VLDB
2000
ACM
15 years 2 months ago
2000
ACM
This demonstration illustrates how a comprehensive database reconciliation tool can provide the ability to characterize data-quality and data-reconciliation issues in complex real...
134
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FBIT
2007
IEEE
15 years 5 months ago
2007
IEEE
In Wireless Sensor Networks (WSNs), address-based routing approaches often lead to severe problems due to node mobility, energy-saving sleep-cycles, and often missing or unreliabl...