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» The complexity of stochastic sequences
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WSC
2007
15 years 9 months ago
Hierarchical planning and multi-level scheduling for simulation-based probabilistic risk assessment
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...
Hamed Nejad, Dongfeng Zhu, Ali Mosleh
WSC
2008
15 years 9 months ago
Multi-objective UAV mission planning using evolutionary computation
This investigation develops an innovative algorithm for multiple autonomous unmanned aerial vehicle (UAV) mission routing. The concept of a UAV Swarm Routing Problem (SRP) as a ne...
Adam J. Pohl, Gary B. Lamont
ACSD
2008
IEEE
106views Hardware» more  ACSD 2008»
15 years 8 months ago
Time-bounded model checking of infinite-state continuous-time Markov chains
The design of complex concurrent systems often involves intricate performance and dependability considerations. Continuous-time Markov chains (CTMCs) are widely used models for co...
Lijun Zhang, Holger Hermanns, Ernst Moritz Hahn, B...
ICMLA
2007
15 years 8 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
IJCAI
2007
15 years 8 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Volker Nannen, A. E. Eiben