459 zoekresultaten voor “step problems” in de Publieke website
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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Principles of Environmental Sciences
Principles of Environmental Sciences provides a comprehensive picture of the principles, concepts and methods that are applicable to problems originating from the interaction between the living and non-living environment and mankind. Both the analysis of such problems and the way solutions to environmental…
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Aspects of Record Linkage
Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft
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Random walks and the contact process
Promotores: W. Th. F. den Hollander, M.O. Heydenreich
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Exploration on and of Networks
This dissertation consists of two parts, with the common theme
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
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Expansions of quantum group invariants
In my research, we developed a method to distinguish knots. A knot is a mathematical depiction of the everyday knot that occurs in ropes and cords.
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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Onze projecten
Binnen Dappere Kleintjes werken we aan verschillende projecten om peuters en kleuters te helpen die snel angstig of verlegen zijn. We richten ons op het vroeg herkennen van angstig gedrag én op het ondersteunen van ouders om hier mee om te gaan.
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Computer interventions for young children at risk to prevent reading impairments
This study’s main aim is to test whether children’s learning behaviour explains why they do not benefit from a literate environment.
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Gezondheid en ziekte van de luchtwegen in Nederland
Studying the impact of urbanisation on the respiratory health of past Dutch populations (1200-1850 CE).
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Onderzoeksteam
Achter de schermen werken er veel verschillende mensen mee aan de projecten binnen de Dappere Kleintjes onderzoekslijn. Zie hieronder een overzicht van het onderzoeksteam.
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The Impact of Name Writing on Early Literacy
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Discrete tomography with two directions
Promotores: R. Tijdeman, K.J. Batenburg
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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Challenges of New Media for the Development of Early Literacy Skills in Children at Risk
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Becoming Literate by Means of the internet
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Empirical Bayes applications in biomedical high-dimensional prediction
The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.
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An Update and Expansion of a Meta-Analysis on Shared Book Reading
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Healthcare Information System Engineering: AI Technologies and Open Source Approaches
Healthcare Information Systems (HIS) are essential for modern healthcare delivery, yet their development faces significant challenges including heterogeneous data formats, regulatory compliance, and the growing demand for AI-driven decision support.
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The holographic glass bead game: from superconductivity to time machines
Promotores: Prof.dr. J. Zaanen, Prof.dr. K.E. Schalm
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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Mechanical metamaterials: nonlinear beams and excess zero modes
Mechanical metamaterials are man-made materials which derive their unusual properties from their structure rather than their composition.
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Centre for Public Values & Ethics
Het Centre for Public Values & Ethics (CPVE) is een interdisciplinair academisch expertisecentrum met als doel het verrichten en verspreiden van wetenschappelijk onderzoek naar waardengeladen vraagstukken in de publieke sector. In het bijzonder wordt gekeken naar de ethiek van de publieke ambtsvervulling…
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Next generation bacitracin: reimagining a classic antibiotic
Given the accelerating appearance of antimicrobial resistance, there is an urgent need for more fundamental research into novel antibiotic strategies. The work in this thesis helps to address this global problem by developing new antibiotic compounds, inspired by the antibacterial mechanisms of the…
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Hydrogen dissociation on metal surfaces
Dissociative chemisorption is an important reaction step in many catalytic reactions.
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From grains to planetesimals: the microphysics of dust coagulation
Promotor: Prof.dr. A.G.G.M. Tielens, Prof.dr. C. Dominik (UvA)
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The parabolic Anderson model on Galton-Watson trees
The parabolic Anderson model (PAM), which is the Cauchy problem for the heat equation with random potential. The PAM is a mathematical model that describes how mass (i.e. matter or energy) flows in a medium in the presence of a field of sources and sinks.
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Sheltering 10 billion people in a warming and resource-scarce world: challenges and opportunities
Sheltering is an immediate human need and determines well-being andhealth.
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Mechanistic modelling of drug target binding kinetics as determinant of the time course of drug action in vivo
Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.
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Assessing global regionalized impacts of eutrophication on freshwater fish biodiversity
Freshwater biodiversity has been threatened by eutrophication due to excessive nutrients in the environment. Releasing the freshwater species from such pressures requires efforts from industry and manufacturers to avoid emissions to vulnerable and high-risk regions.
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CMLCA
CMLCA is a software tool that supports the technical steps of the Life Cycle Assessment. The focus of the program is on advanced computational aspects of life cycle inventory calculations.
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Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
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Innovative sample preparation and handling strategies for automated and high-throughput metabolomics
Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…
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Towards improved drug action : target binding kinetics and functional efficacy at the mGlu2 receptor
During the course of drug discovery translational steps are made.
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Hydrogen dissociation on metal surfaces
Promotor: G. J. Kroes
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Development of an in vitro vascular network using zebrafish embryonic cells
One of the major limitations in culturing complex tissues or organs is the lack of vascularization in the cultured tissue. Development of a functional capillary bed could overcome this problem.
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Copper complexes for bioinspired electrocatalysis relevant to the reduction of oxygen
This thesis advance our understanding and the application of molecular catalysts relevant to the reduction of oxygen as well as reduction of nitrite.
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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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Decompositions in algebra
We show that Kirchhoff ’s law of conservation holds for non-commutative graph flows if and only if the graph is planar. We generalize the theory of (Euclidean) lattices to infinite dimension and consider the ring of algebraic integers as such a lattice.
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Symmetric Diophantine approximation over function fields
Promotor: Prof.dr. P. Stevenhagen, Co-Promotor: J.H. Evertse
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The added value of multimedia to repeated story book reading in preschool age
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