Results 11 to 20 of about 698,739 (268)
On the Adversarial Robustness of Robust Estimators [PDF]
IEEE Transactions on Information Theory, 2020 Motivated by recent data analytics applications, we study the adversarial robustness of robust estimators. Instead of assuming that only a fraction of the data points are outliers as considered in the classic robust estimation setup, in this paper, we consider an adversarial setup in which an attacker can observe the whole dataset and can modify all ...
Lifeng Lai, Erhan Bayraktar
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Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches
Computers, 2021 Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods.
Frank Phillipson +2 more
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BMC Medical Informatics and Decision Making, 2022 Background Analysing distributed medical data is challenging because of data sensitivity and various regulations to access and combine data. Some privacy-preserving methods are known for analyzing horizontally-partitioned data, where different ...
Bart Kamphorst +4 more
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A robust robust optimization result [PDF]
Operations Research Letters, 2012 We study the loss in objective value when an inaccurate objective is optimized instead of the true one, and show that "on average" this loss is very small, for an arbitrary compact feasible region.
Martina Gancarova, Michael J. Todd
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Fish mislabelling in France: substitution rates and retail types [PDF]
PeerJ, 2015 Market policies have profound implications for consumers as well as for the management of resources. One of the major concerns in fish trading is species mislabelling: the commercial name used does not correspond to the product, most often because the ...
Julien Bénard-Capelle +5 more
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Adaptive Second-Order Sliding Mode Control of Buck Converters with Multi-Disturbances
Energies, 2022 In this paper, a novel adaptive second-order sliding mode (2-SM) control approach, based on online zero-crossing detection, was proposed to solve the problems of the chattering and fixed control gain for buck converters with multi-disturbances.
Yanmin Wang +5 more
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Robustness and generalization [PDF]
Machine Learning, 2011 We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the testing error is close to the training error. This provides a novel approach, different from the complexity or stability arguments, to study generalization of learning algorithms.
Huan Xu 0001, Shie Mannor
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Robustness of Cloud Manufacturing System Based on Complex Network and Multi-Agent Simulation
Entropy, 2022 Cloud manufacturing systems (CMSs) are networked, distributed and loosely coupled, so they face great uncertainty and risk. This paper combines the complex network model with multi-agent simulation in a novel approach to the robustness analysis of CMSs ...
Xin Zheng, Xiaodong Zhang
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Fuzzy Sets and Systems, 2013 In decision analysis and especially in multiple criteria decision analysis, several non additive integrals have been introduced in the last years. Among them, we remember the Choquet integral, the Shilkret integral and the Sugeno integral. In the context of multiple criteria decision analysis, these integrals are used to aggregate the evaluations of ...
GRECO, Salvatore, Rindone F.
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BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks
SoftwareX, 2020 Bayesian Networks (BNs) are probabilistic, graphical models for representing complex dependency structures. They have many applications in science and engineering.
Dominik Paprotny +3 more
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