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Mostrando ítems 11-20 de 99
An Approximation Scheme for Uncertain Minimax Optimal Control Problems
(Springer, 2018-12)
In this work, we address an uncertain minimax optimal control problem with linear dynamics where the objective functional is the expected value of the supremum of the running cost over a time interval. By taking an ...
Optimal threshold estimation for binary classifiers using game theory
(F1000 Research Ltd, 2016-11-25)
Many bioinformatics algorithms can be understood as binary classifiers. They are usually compared using the area under the receiver operating characteristic (ROC) curve. On the other hand, choosing the best threshold for ...
Optimal design of a classical CMOS OTA-Miller using numerical methods and SPICE simulations
(XIII International Workshop Iberchip, 2013)
Optimal design of a classical CMOS OTA-Miller using numerical methods and SPICE simulations
(XIII International Workshop Iberchip, 2007-03)
Optimal design of a classical CMOS OTA-Miller using numerical methods and SPICE simulations
(XIII International Workshop Iberchip, 2007-03)
Topology optimization of buildings subjected to stochastic base excitation
(2020)
In seismically active regions, buildings are inevitably exposed to extreme ground motions. Traditionally, the main structural system is designed iteratively to resist these loads, which provides safe systems, but is usually ...
Minimax regret spanning arborescences under uncertain costs
(Elsevier B.V., 2008)
Experience generalization for multi-agent reinforcement learning
(Institute of Electrical and Electronics Engineers (IEEE), Computer Soc, 2001-01-01)
On-line learning methods have been applied successfully in multi-agent systems to achieve coordination among agents. Learning in multi-agent systems implies in a non-stationary scenario perceived by the agents, since the ...
Hypothesis testing in econometric models
(2015-12-11)
This thesis contains three chapters. The first chapter considers tests of the parameter of an endogenous variable in an instrumental variables regression model. The focus is on one-sided conditional t-tests. Theoretical ...