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EVOW
2009
Springer
16 years 1 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
16 years 1 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
ACSAC
2008
IEEE
16 years 1 months ago
The Role Hierarchy Mining Problem: Discovery of Optimal Role Hierarchies
Role hierarchies are fundamental to the role based access control (RBAC) model. The notion of role hierarchy is a well understood concept that allows senior roles to inherit the p...
Qi Guo, Jaideep Vaidya, Vijayalakshmi Atluri
CDC
2008
IEEE
171views Control Systems» more  CDC 2008»
16 years 1 months ago
Constrained optimal control theory for differential linear repetitive processes
Abstract. Differential repetitive processes are a distinct class of continuous-discrete twodimensional linear systems of both systems theoretic and applications interest. These pr...
Michael Dymkov, Eric Rogers, Siarhei Dymkou, Krzys...
ICASSP
2008
IEEE
16 years 1 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu