This paper proposes an approach for solving the problem of composite process oriented service discovery with preserving business and timed relation. Key to our approach is the def...
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
tive Guidance Strategy for Abstraction-Guided Simulation Flavio M. De Paula Alan J. Hu Department of Computer Science, University of British Columbia, {depaulfm, ajh}@cs.ubc.ca D...
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimiz...
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...