5138 search results - page 149 / 1028 » Low-Entropy Set Selection. |
148
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IIS
2004
15 years 7 months ago
2004
Estimating the result size of a join is an important query optimization problem as it determines the choice of a good query evaluation strategy. Yet, there are few efficient techni...
199
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BMEI
2009
IEEE
15 years 7 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
174
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CADE
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Automated theorem provers (ATPs) struggle to solve problems with large sets of possibly superfluous axiom. Several algorithms have been developed to reduce the number of ...
163
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IJON
2006
15 years 6 months ago
2006
Selective attention is a process widely used by biological sensory systems to overcome the problem of limited parallel processing capacity: salient subregions of the input stimuli...
171
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IJPRAI
2006
15 years 6 months ago
2006
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...