Results 41 to 50 of about 223,298 (311)
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables [PDF]
, 2022 Metaheuristic search algorithms look for solutions that either max-imise or minimise a set of objectives, such as cost or performance. However most real-world optimisation problems consist of nonlin-ear problems with complex constraints and conflicting ...
Cairns, David +5 more
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Detecting and Isolating Adversarial Attacks Using Characteristics of the Surrogate Model Framework
Applied Sciences, 2023 The paper introduces a novel framework for detecting adversarial attacks on machine learning models that classify tabular data. Its purpose is to provide a robust method for the monitoring and continuous auditing of machine learning models for the ...
Piotr Biczyk, Łukasz Wawrowski
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On the use of gradients in Kriging surrogate models [PDF]
Proceedings of the Winter Simulation Conference 2014, 2014 The use of Kriging surrogate models has become popular in approximating computation-intensive deterministic computer models. In this work, the effect of enhancing Kriging surrogate models with a (partial) set of gradients is investigated. While, intuitively, gradient information is useful to enhance prediction accuracy, another motivation behind this ...
Selvakumar Ulaganathan +4 more
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Using Surrogate Models and Variable Importance to better Understand Random Forests Regression Fitting [PDF]
, 2023 Interpretability mechanisms helping users in better understanding machine learning models are crucial for Artificial Intelligence acceptance. In this manuscript, our experience in interpretation of random forest regression via surrogate models, i.e ...
simonetto anna, migliorati manlio
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Entropy, 2020 The leader–follower structure is widely used in unmanned aerial vehicle formation. This paper adopts the proportional-integral-derivative (PID) and the linear quadratic regulator controllers to construct the leader–follower formation.
Binglin Wang +4 more
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Towards explaining metaheuristic solution quality by data mining surrogate fitness models for importance of variables [PDF]
, 2021 Metaheuristics are randomised search algorithms that are effective at finding "good enough" solutions to optimisation problems. However, they present no justification for generated solutions and these solutions are non-trivial to analyse in most cases ...
Cairns, David +5 more
core +1 more source
Large-Scale Expensive Optimization with a Switching Strategy
Complex System Modeling and Simulation, 2022 Some optimization problems in scientific research, such as the robustness optimization for the Internet of Things and the neural architecture search, are large-scale in decision space and expensive for objective evaluation.
Mai Sun +4 more
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, 2015 Surrogate models or metamodels are commonly used to exploit expensive computational simulations within a design optimization framework. The application of multi-fidelity surrogate modeling approaches has recently been gaining ground due to the potential ...
Toal, David J.J.
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A surrogate FRAX model for Nepal [PDF]
Archives of OsteoporosisAbstract Summary A surrogate FRAX® model for Nepal has been constructed using age- and sex-specific hip fracture rates for Indians living in Singapore and age- and sex-specific mortality rates from Nepal. Introduction FRAX
Johansson, H. +5 more
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A DNN-Based Surrogate Constitutive Equation for Geometrically Exact Thin-Walled Rod Members
ComputationKinematically exact rod models were a major breakthrough to evaluate complex frame structures undergoing large displacements and the associated buckling modes.
Marcos Pires Kassab +2 more
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