Searched for: subject%3A%22convergence%22
(1 - 20 of 134)

Pages

document
Bakhuis, J.J. (author), Kamp, L.M. (author), Barbour, Natalia (author), Chappin, E.J.L. (author)
This paper systematically reviews the literature on sociotechnical multi-system innovation frameworks that broaden the usual focus on one sociotechnical system to encompass influences from multiple systems. The review includes 75 peer-reviewed papers that span a broad range of energy-demanding systems and mainly build upon the core frameworks...
journal article 2024
document
van Nuland, T.D.H. (author)
The universal approximation theorem is generalised to uniform convergence on the (noncompact) input space R<sup>n</sup>. All continuous functions that vanish at infinity can be uniformly approximated by neural networks with one hidden layer, for all activation functions φ that are continuous, nonpolynomial, and asymptotically polynomial at ±∞...
journal article 2024
document
Joseph, G. (author)
The convergence of expectation-maximization (EM)-based algorithms typically requires continuity of the likelihood function with respect to all the unknown parameters (optimization variables). The requirement is not met when parameters comprise both discrete and continuous variables, making the convergence analysis nontrivial. This paper...
journal article 2024
document
Galanis, Miltos (author)
In this thesis, we explore the structure of consistent bootstrap statistics in hypothesis testing. Bootstrap, as a very useful technique when theoretical distributions are not available or when the sample size is small, enjoys a lot of interest from applied statisticians. Historically, guidelines for performing Bootstrap have been proposed. One...
master thesis 2023
document
Koole, Emma (author)
This study investigates the dynamics of seasonal precipitation in Suriname with the help of moisture tracking and Sea Surface Temperature correlations. Prolonged drought periods, heavy precipitation events and accompanying flash floods and landslides are expected to increase in Suriname in the coming years. Reliable seasonal precipitation...
master thesis 2023
document
Maat, Sander (author)
Frisia Zout B.V. extracts salt from the subsurface by means of solution mining in the north-western part of The Netherlands. The caverns are situated in the Zechstein-II Halite at a depth of around 2.5 km. Because of this depth and the low operating pressure (around 60% of lithostatic pressure) the salt creep within the cavern is high. Once a...
master thesis 2023
document
Pannunzio, V. (author)
Digital health is a vibrant and dynamic field, encompassing subsets such as mobile health, health information technology, wearable devices, telehealth and telemedicine, and personalised medicine. While digital health adoption has been markedly accelerated by the covid-19 pandemic (Inkster et al., 2020), an evolving body of research has focused...
doctoral thesis 2023
document
Wever, Teun (author)
In this research a new method for pricing continuous Arithmetic averaged Asian options is proposed. The computation is based on Fourier-cosine expansion, namely the COS method. Therefore, we derive the characteristic function of Integrated Geometric Brownian Motion based on Bougerol's identity. <br/><br/>Extensive numerical error analysis on the...
master thesis 2023
document
Vargas Quiros, J.D. (author), Kapcak, Oyku (author), Hung, H.S. (author), Cabrera Quiros, L.C. (author)
Interpersonal attraction is known to motivate behavioral responses in the person experiencing this subjective phenomenon. Such responses may involve the imitation of behavior, as in mirroring or mimicry of postures or gestures, which have been found to be associated with the desire to be liked by an interlocutor. Speed dating provides a...
journal article 2023
document
Dai, Pengcheng (author), Yu, Wenwu (author), Wang, He (author), Baldi, S. (author)
Actor-critic (AC) cooperative multiagent reinforcement learning (MARL) over directed graphs is studied in this article. The goal of the agents in MARL is to maximize the globally averaged return in a distributed way, i.e., each agent can only exchange information with its neighboring agents. AC methods proposed in the literature require the...
journal article 2023
document
Franci, B. (author), Grammatico, S. (author)
Generative adversarial networks (GANs) are a class of generative models with two antagonistic neural networks: a generator and a discriminator. These two neural networks compete against each other through an adversarial process that can be modeled as a stochastic Nash equilibrium problem. Since the associated training process is challenging,...
journal article 2023
document
Thorpe, Matthew (author), van Gennip, Y. (author)
Neural networks have been very successful in many applications; we often, however, lack a theoretical understanding of what the neural networks are actually learning. This problem emerges when trying to generalise to new data sets. The contribution of this paper is to show that, for the residual neural network model, the deep layer limit...
journal article 2023
document
Scharnke, Jule (author), van Essen, S.M. (author), Seyffert, Harleigh C. (author)
In the assessment of wave-in-deck loads for new and existing maritime structures typically model tests are carried out. To determine the most critical conditions and measure sufficient impact loads, a range of sea states and various seeds (realisations) for each sea state are tested. Based on these measurements, probability distributions can...
journal article 2023
document
Ahmadi Dastjerdi, A. (author), Astolfi, Alessandro (author), Saikumar, N. (author), Karbasizadeh, Nima (author), Valerio, Duarte (author), Hassan HosseinNia, S. (author)
This article introduces a closed-loop frequency analysis tool for reset control systems. To begin with sufficient conditions for the existence of the steady-state response for a closed-loop system with a reset element and driven by periodic references are provided. It is then shown that, under specific conditions, such a steady-state response...
journal article 2023
document
Gao, Zhan (author), Isufi, E. (author)
Stochastic graph neural networks (SGNNs) are information processing architectures that learn representations from data over random graphs. SGNNs are trained with respect to the expected performance, which comes with no guarantee about deviations of particular output realizations around the optimal expectation. To overcome this issue, we propose...
journal article 2023
document
Benenati, E. (author), Ananduta, W. (author), Grammatico, S. (author)
A fundamental open problem in monotone game theory is the computation of a specific generalized Nash equilibrium (GNE) among all the available ones, e.g. the optimal equilibrium with respect to a system-level objective. The existing GNE seeking algorithms have in fact convergence guarantees toward an arbitrary, possibly inefficient,...
journal article 2023
document
Reinders, Joey (author), Giaccagli, Mattia (author), Hunnekens, Bram (author), Astolfi, Daniele (author), Oomen, T.A.E. (author), Van De Wouw, Nathan (author)
Repetitive control (RC) has shown to achieve superior rejection of periodic disturbances. Many nonlinear systems are subject to repeating disturbances. The aim of this article is to develop a continuous-time RC design with stability guarantees for nonlinear Lur'e-type systems. Approximate output tracking is achieved by combining an internal...
journal article 2023
document
van Essen, S.M. (author), Scharnke, Jule (author), Seyffert, Harleigh C. (author)
For the design of maritime structures in waves, the extreme values of responses such as motions and wave impact loads are required. Waves and wave-induced responses are stochastic, so such responses should always be related to a probability. This information is not easy to obtain for strongly non-linear responses such as wave impact forces....
journal article 2023
document
Roest, Raoul (author)
Due to their attractive characteristics, convertible and callable bonds became a more important class of fixed-income products within the financial market. Therefore, the need for fair and accurate pricing of convertible and callable bonds increases. Where the convertible option can be considered as a right for the bondholder, the callable...
master thesis 2022
document
Bierkens, G.N.J.C. (author), Kamatani, Kengo (author), Roberts, Gareth O. (author)
Piecewise deterministic Markov processes are an important new tool in the design of Markov chain Monte Carlo algorithms. Two examples of fundamental importance are the bouncy particle sampler (BPS) and the zig–zag process (ZZ). In this paper scaling limits for both algorithms are determined. Here the dimensionality of the space tends towards...
journal article 2022
Searched for: subject%3A%22convergence%22
(1 - 20 of 134)

Pages