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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
14 years 11 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
PODC
2011
ACM
14 years 21 days ago
Robust network supercomputing without centralized control
Internet supercomputing is becoming an increasingly popular means for harnessing the power of a vast number of interconnected computers. This comes at a cost substantially lower t...
Seda Davtyan, Kishori M. Konwar, Alexander A. Shva...
PAMI
2007
196views more  PAMI 2007»
14 years 9 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock
CLUSTER
2007
IEEE
15 years 4 months ago
A Comparison of robustness metrics for scheduling DAGs on heterogeneous systems
— A schedule is said robust if it is able to absorb some degree of uncertainty in tasks duration while maintaining a stable solution. This intuitive notion of robustness has led ...
Louis-Claude Canon, Emmanuel Jeannot
ICML
2003
IEEE
15 years 10 months ago
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
Xiaoli Zhang Fern, Carla E. Brodley