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» Solving Hierarchical Optimization Problems Using MOEAs
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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 3 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
GLOBECOM
2006
IEEE
14 years 3 months ago
Multi-Stage Investment Decision under Contingent Demand for Networking Planning
Telecommunication companies, such as Internet and cellular service providers, are seeing rapid and uncertain growth of traffic routed through their networks. It has become a chall...
Miguel F. Anjos, Michael Desroches, Anwar Haque, O...
SIGIR
2003
ACM
14 years 2 months ago
A maximal figure-of-merit learning approach to text categorization
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
ICLP
2003
Springer
14 years 2 months ago
Uniform Equivalence of Logic Programs under the Stable Model Semantics
In recent research on nonmonotonic logic programming, repeatedly strong equivalence of logic programs P and Q has been considered, which holds if the programs P ∪ R and Q ∪ R h...
Thomas Eiter, Michael Fink
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
14 years 2 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...