Results 1 to 10 of about 2,878,776 (166)
International Journal of Control, 2013 "Model-free control" and the corresponding "intelligent" PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account.
Cedric Join
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Monkeypox: a model-free analysis. [PDF]
Eur Phys J Plus, 2023 Monkeypox is a zoonotic disease caused by a virus that is a member of the orthopox genus, which has been causing an outbreak since May 2022 around the globe outside of its country of origin Democratic Republic of the Congo, Africa. Here we systematically analyze the data of cumulative infection per day adapting model-free analysis, in particular ...
Saiprasad VR +3 more
europepmc +3 more sources
Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems [PDF]
EntropyInferring causal networks from noisy observations is of vital importance in various fields. Due to the complexity of system modeling, the way in which universal and feasible inference algorithms are studied is a key challenge for network reconstruction ...
Guanxue Yang, Shimin Lei, Guanxiao Yang
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Frontiers in Molecular Biosciences, 2021 Relaxation in nuclear magnetic resonance is a powerful method for obtaining spatially resolved, timescale-specific dynamics information about molecular systems. However, dynamics in biomolecular systems are generally too complex to be fully characterized based on NMR data alone.
Zumpfe, Kai, Smith, Albert A.
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Toward Data-Driven Optimal Control: A Systematic Review of the Landscape
IEEE Access, 2022 This literature review extends and contributes to research on the development of data-driven optimal control. Previous reviews have documented the development of model-based and data-driven control in isolation and have not critically reviewed ...
Krupa Prag +2 more
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Model-Free Time-Aggregated Predictions for Econometric Datasets
Forecasting, 2021 Forecasting volatility from econometric datasets is a crucial task in finance. To acquire meaningful volatility predictions, various methods were built upon GARCH-type models, but these classical techniques suffer from instability of short and volatile ...
Kejin Wu, Sayar Karmakar
doaj +1 more source
A Model-Free Approach for Testing Association [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2021 AbstractThe question of association between outcome and feature is generally framed in the context of a model based on functional and distributional forms. Our motivating application is that of identifying serum biomarkers of angiogenesis, energy metabolism, apoptosis and inflammation, predictive of recurrence after lung resection in node-negative non ...
Chatterjee, Saptarshi +2 more
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Model-free superhedging duality [PDF]
The Annals of Applied Probability, 2017 In a model free discrete time financial market, we prove the superhedging duality theorem, where trading is allowed with dynamic and semi-static strategies. We also show that the initial cost of the cheapest portfolio that dominates a contingent claim on every possible path $ω\in Ω$, might be strictly greater than the upper bound of the no-arbitrage ...
M. Burzoni, M. Frittelli, M. Maggis
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Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics
Frontiers in Neurorobotics, 2022 Experience replay is widely used in AI to bootstrap reinforcement learning (RL) by enabling an agent to remember and reuse past experiences. Classical techniques include shuffled-, reversed-ordered- and prioritized-memory buffers, which have different ...
Elisa Massi +7 more
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CoRR, 2022 In general-sum games, the interaction of self-interested learning agents commonly leads to collectively worst-case outcomes, such as defect-defect in the iterated prisoner's dilemma (IPD). To overcome this, some methods, such as Learning with Opponent-Learning Awareness (LOLA), shape their opponents' learning process.
Christopher Lu 0001 +3 more
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