Searched for: subject%3A%22Logistic%255C%2Bregression%22
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Barnieh, Beatrice Asenso (author), Jia, Li (author), Menenti, M. (author), Jiang, Min (author), Zhou, Jie (author), Zeng, Yelong (author), Bennour, Ali (author)
The occurrence of natural vegetation at a given time is determined by interplay of multiple drivers. The effects of several drivers, e.g., geomorphology, topography, climate variability, accessibility, demographic indicators, and changes in human activities on the occurrence of natural vegetation in the severe drought periods and, prior to...
journal article 2021
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Wu, H. (author), Qian, QK (author), Straub, A. (author), Visscher, H.J. (author)
Purpose: The recent promotion of prefabricated housing (PH) in China has resulted in a prosperous period for its implementation. However, transaction costs (TCs) cause low economic efficiency to stakeholders and hinder the further promotion of PH. No relevant study has yet been made to investigate the TCs and their causes in the PH field....
journal article 2021
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Sengalrayan, Patrick (author)
In baseball, pitchers have a high rate of throwing arm injury, which could lead to disability and less training time. This paper aims at investigating whether upcoming injuries of youth baseball pitchers can be detected before the athlete experiences injury symptoms. A total of 118 elite youth baseball pitchers from the Dutch national baseball...
master thesis 2020
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Wijs, R. J.A. (author), Nane, G.F. (author), Leontaris, G. (author), Van Manen, T. R.W. (author), Wolfert, A.R.M. (author)
Utility operators must rely on predictive analyses regarding the availability of their subsurface assets, which highly depend on damage by increasing amounts of excavation work. However, straightforward use of standard statistical techniques, such as logistic regression or Bayesian logistic regression, does not allow for accurate predictions...
journal article 2020
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Verbruggen, Roderik (author)
Research and Objective: In the recent years the online grocery sector experienced an enormous uplift and evolved to a highly competitive business sector. Within this demanding environment, the need for strategic information has become extremely important, as it greatly enhances decision-making processes and the optimisation of the supply chain....
master thesis 2020
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Huisman, C.J. (author), Mulder, Clara H. (author)
Given that insecure leases impact negatively on ontological security and subjective well-being, and given increasing pressure on European housing markets, more insight into insecure leases is timely. In this article, we assess the occurrence of temporary leases in the city of Amsterdam in 2015, and explore the characteristics of the tenants....
journal article 2020
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Tideman, Leonoor (author)
Imaging mass spectrometry (IMS) is a multiplexed chemical imaging technique that enables the spatially targeted molecular mapping of biological samples at cellular resolutions. Within a single experiment, IMS can measure the spatial distribution and relative concentration of thousands of distinct molecular species across the surface of a tissue...
master thesis 2019
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Hartel, Wout (author)
This thesis is a research into the relationship between performance and sales of new financial contracts of financial products providers in the employer’s market. This thesis is written in collaboration with IG&H Consulting. Combining the performance scores given by advisors on financial providers and the production of new contracts over the...
master thesis 2019
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de Jong, Alex (author)
This study aims to provide insight into how factors relating to privacy and incentives influence people's willingness to participate in sharing their vehicle based sensing data with governmental parties for the purposes of improved dynamic traffic management in the Netherlands. Through the use of a stated preference experiment data is gathered...
master thesis 2019
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Kaak, Davey (author)
During a digital fraud investigation the search for relevant information in mailboxes of custodians is like finding a needle in a haystack. This time consuming task can, on various levels, be improved and made more efficient. Technology Assisted Review (TAR) is already one of the available machine learning algorithms that helps speeding up the...
master thesis 2019
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BHAT, MADHUKESHWAR (author)
With the rising global pollution and rising concern over sustainable operations, manufacturing companies are under tremendous pressure from its stakeholders to adopt Sustainable Supply Chain Management (SSCM). However, companies in addressing SSCM, largely focus on the economic aspects neglecting the other two crucial pillars of sustainability....
master thesis 2018
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Septian Gilang Permana Putra, Septian (author)
Credit analysis is required in a wide variety of decision of a modern economy.<br/>It includes understanding the credit risk of small-medium enterprises (SMEs),<br/>which today is the most significant contributor to the economy of almost every<br/>nation. Creditors usually use credit scoring as a tool to predict the probability of<br/>the SMEs...
master thesis 2018
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Wijs, Ronald (author)
Cables and pipes are critical infrastructure systems (CISs) which are mostly located in the very crowded subsurface. Especially in urban areas, a typical road includes five to ten infrastructure systems which are all owned and managed by different entities. The CISs are spatially interdependent as these are highly interconnected due to the close...
master thesis 2018
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Verkade, Joost (author)
Managing credit risk is a vital part of financial institutions. While the research into credit risk models is extensive, transaction data is a relatively untapped data source in these models. We investigate the explanatory value of transaction data for the Bank by developing default classification models for their small medium enterprises (SME)...
master thesis 2018
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Bierkens, G.N.J.C. (author), Bouchard-Côté, Alexandre (author), Doucet, Arnaud (author), Duncan, Andrew B. (author), Fearnhead, Paul (author), Lienart, Thibaut (author), Roberts, Gareth (author), Vollmer, Sebastian J. (author)
Piecewise Deterministic Monte Carlo algorithms enable simulation from a posterior distribution, whilst only needing to access a sub-sample of data at each iteration. We show how they can be implemented in settings where the parameters live on a restricted domain.
journal article 2018
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Witteveen, Annemieke (author), Nane, G.F. (author), Vliegen, Ingrid M.H. (author), Siesling, Sabine (author), IJzerman, Maarten J. (author)
Purpose. For individualized follow-up, accurate prediction of locoregional recurrence (LRR) and second primary (SP) breast cancer risk is required. Current prediction models employ regression, but with large data sets, machine-learning techniques such as Bayesian Networks (BNs) may be better alternatives. In this study, logistic regression...
journal article 2018
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Yang, Y. (author), Loog, M. (author)
Logistic regression is by far the most widely used classifier in real-world applications. In this paper, we benchmark the state-of-the-art active learning methods for logistic regression and discuss and illustrate their underlying characteristics. Experiments are carried out on three synthetic datasets and 44 real-world datasets, providing...
journal article 2018
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Khakzad, N. (author), van Gelder, P.H.A.J.M. (author)
In the context of natural-technological (natech) accidents, flood-induced damage of chemical facilities have received relatively less attention mainly due to the scarcity of experimental or high resolution field observations. In the present study, we have introduced a methodology based on load-resistance relationships to assess the vulnerability...
journal article 2017
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Jansen, S.J.T. (author), Hoekstra, J.S.C.M. (author), Boumeester, H.J.F.M. (author)
The extraction of natural gas in the north of The Netherlands has led to soil subsidence and the occurrence of earthquakes. Residents worry about the safety of their families and the saleability of their dwelling and might want to move. The goal is to examine whether the earthquakes are related to the intention to move. A survey among...
journal article 2017
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Van Oosterhout, D. (author)
In the last decades, measurement while drilling, or MWD, technology has set foot in the drill and blast tunnelling industry. Penetration rate, thrust, torque pressure, percussive pressure, rotation speed, water flow and water pressure are registered on a centimetre scale and processed to parameters more dependent on geology. These parameters...
master thesis 2016
Searched for: subject%3A%22Logistic%255C%2Bregression%22
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