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280
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GECCO
2007
Springer
16 years 26 days ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
181
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IBPRIA
2007
Springer
16 years 26 days ago
2007
Springer
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
183
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MDM
2007
Springer
16 years 26 days ago
2007
Springer
Abstract—In this paper we present MicroPulse, a novel framework for adapting the waking window of a sensing device S based on the data workload incurred by a query Q. Assuming a ...
149
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TSD
2007
Springer
16 years 25 days ago
2007
Springer
Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
147
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WABI
2007
Springer
16 years 25 days ago
2007
Springer
In comparing genomic maps, it is often difficult to distinguish mapping errors and incorrectly resolved paralogies from genuine rearrangements of the genomes. A solution to this ...