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» Implementing the maximum of monotone algorithms
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SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
14 years 9 months ago
Near-optimal algorithms for shared filter evaluation in data stream systems
We consider the problem of evaluating multiple overlapping queries defined on data streams, where each query is a conjunction of multiple filters and each filter may be shared acr...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
MOBIHOC
2008
ACM
15 years 9 months ago
Construction algorithms for k-connected m-dominating sets in wireless sensor networks
A Connected Dominating Set (CDS) working as a virtual backbone is an effective way to decrease the overhead of routing in a wireless sensor network. Furthermore, a kConnected m-Do...
Yiwei Wu, Yingshu Li
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 3 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
BMCBI
2006
119views more  BMCBI 2006»
14 years 10 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs