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» Sensitivity of trust-region algorithms to their parameters
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JMLR
2010
133views more  JMLR 2010»
13 years 2 months ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
HYBRID
2009
Springer
14 years 2 months ago
Parameter Synthesis for Hybrid Systems with an Application to Simulink Models
Abstract. This paper addresses a parameter synthesis problem for nonlinear hybrid systems. Considering a set of uncertain parameters and a safety property, we give an algorithm tha...
Alexandre Donzé, Bruce H. Krogh, Akshay Raj...
ASC
2011
13 years 2 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi
CCE
2006
13 years 7 months ago
Sensitivity analysis of differential-algebraic equations and partial differential equations
Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In...
Linda R. Petzold, Shengtai Li, Yang Cao, Radu Serb...
HAPTICS
2003
IEEE
14 years 1 months ago
The Haptic Probe: Mechanized Haptic Exploration and Automated Modeling
It seems likely that humans build internal models of objects that they explore haptically, and that the complexity of an internal model is not necessarily associated with complex ...
Volkan Patoglu, R. Brent Gillespie