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GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
We present discrete stochastic mathematical models for the growth curves of synchronous and asynchronous evolutionary algorithms with populations structured according to a random ...
PAMI
2010
14 years 4 months ago
2010
We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a li...
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
— Timed Continuous Petri Net (TCPN) systems are piecewise linear models with input constraints that can approximate the dynamical behavior of a class of timed discrete event syst...
ESEM
2007
ACM
14 years 11 months ago
2007
ACM
An important number of studies have addressed the importance of models in software engineering, mainly in the design of robust software systems. Although models have been proven t...