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» A Bayesian Approach to Tackling Hard Computational Problems
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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 2 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
COMAD
2009
14 years 10 months ago
Large Maximal Cliques Enumeration in Large Sparse Graphs
Identifying communities in social networks is a problem of great interest. One popular type of community is where every member of the community knows all others, which can be view...
Natwar Modani, Kuntal Dey
PODS
2006
ACM
134views Database» more  PODS 2006»
15 years 9 months ago
Finding global icebergs over distributed data sets
Finding icebergs ? items whose frequency of occurrence is above a certain threshold ? is an important problem with a wide range of applications. Most of the existing work focuses ...
Qi Zhao, Mitsunori Ogihara, Haixun Wang, Jun Xu
IPSN
2009
Springer
15 years 4 months ago
Simultaneous placement and scheduling of sensors
We consider the problem of monitoring spatial phenomena, such as road speeds on a highway, using wireless sensors with limited battery life. A central question is to decide where ...
Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlo...
CCS
2007
ACM
15 years 1 months ago
Highly efficient techniques for network forensics
Given a history of packet transmissions and an excerpt of a possible packet payload, the payload attribution problem requires the identification of sources, destinations and the t...
Miroslav Ponec, Paul Giura, Hervé Brön...