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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 5 months ago
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how t...
Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Lu...
COMPSAC
2002
IEEE
14 years 13 days ago
Parallel Genetic Algorithms with Schema Migration
Genetic algorithms (GAs) are efficient non-gradient stochastic search methods. Parallel GAs are proposed to overcome the deficiencies of sequential GAs, such as low speed and aptn...
Baowen Xu, Yu Guan, Zhenqiang Chen, Karl R. P. H. ...
GECCO
2005
Springer
115views Optimization» more  GECCO 2005»
14 years 1 months ago
Search-based improvement of subsystem decompositions
The subsystem decomposition of a software system degrades gradually during its lifetime and therefore it gets harder and harder to maintain. As a result this decomposition needs t...
Olaf Seng, Markus Bauer, Matthias Biehl, Gert Pach...
ICTAC
2009
Springer
13 years 5 months ago
Integration Testing from Structured First-Order Specifications via Deduction Modulo
Testing from first-order specifications has mainly been studied for flat specifications, that are specifications of a single software module. However, the specifications of large s...
Delphine Longuet, Marc Aiguier