846 zoekresultaten voor “steen problems” in de Publieke website
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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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Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
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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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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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The Impact of Name Writing on Early Literacy
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Discrete tomography with two directions
Promotores: R. Tijdeman, K.J. Batenburg
- Publicaties
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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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Meta Analysis
Discover "Meta Analysis" at Leiden University. Read more here.
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Course Meta Analysis
Discover "Meta Analysis" at Leiden University. Read more here.
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Big simulations for big problems
Promotie
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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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Quantum Methods for Machine Learning and Classical Dynamics
All the data stored and processed by our computers is encoded as sequences of zeros and ones, called bits. Quantum computers offer an alternative to this traditional way of encoding and manipulating information.
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Vincent Niochetv.niochet@arch.leidenuniv.nl | 071 5272727
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Efficiënter problemen oplossen
De pas gepromoveerde Hao Wang van het Leiden Institute of Advanced Computer Science leert computers hoe je problemen in het dagelijks leven kunt oplossen. Zijn doel is om het proces van probleemoplossing efficiënter te maken. Op 1 november promoveerde hij met het predicaat cum laude. ‘Ik hoop moeilijke…
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Micro-excursie: de bijzondere stenen van het Gorlaeus
Lezing, Natuurwetenschappelijk Gezelschap Leiden
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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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Distributions
Statistical distributions in LCA and converting between different representations of these distributions.
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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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- Literatuur
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Master Track Public Administration: Economics and Governance
The Economics and Governance specialisation of the Master in Public Administration teaches you to formulate problem-solving approaches to concrete policy issues found at the intersection between economics and public administration. This specialisation is a unique joint offering of the Department of…
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In Leiden moet het anders
In dit boek reconstrueert Bart van der Steen alle grote acties en campagnes van de Leidse SP-afdeling in de jaren zeventig. Hij laat zien hoe de partij zich ontwikkelde van een kleine maar enthousiaste groep revolutionairen naar een lokaal gewortelde actiepartij.
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Developing a behavioural cybersecurity strategy: A five-step approach for organisations
Dit onderzoek presenteert een vijfstappenplan voor de ontwikkeling van een effectieve gedragsgerichte cyberveiligheidsstrategie.
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Het effect van cybersecuritytraining op eindgebruikers: Een meta-analyse
Julia Prümmer, Tommy van Steen en Bibi van den Berg evalueren de effectiviteit van cybersecuritytrainingen voor eindgebruikers.
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Effectiveness of audience segmentation in instructional risk communication: A systematic literature review
This article provides a list of the concepts and key elements that should be considered when creating effective communication messages.
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Empathic or anxious mistakes?
A neurocognitive investigation of the development of social performance monitoring in youth growing up in stressful versus non-stressful environments
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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New Foundations for Separation Logic
The research presented in this thesis concerns one of the most important questions in software engineering of our time: how can we make sure that software is free from memory safety bugs?
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Nonparametric Bayesian Methods in Robotic Vision
In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.
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Travelling patterns on Discrete Media
This thesis describes how complex and real-world relevant analytical solutions can be found starting from a simple Nagumo problem posed on one or two-dimensional lattices.
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Geometric quadratic Chabauty and other topics in number theory
This thesis is is made of three parts. The first part describes a generalization of the Chabauty's method, that can be used to determine the rational points of a curve such that s+g>r+1, where g is the genusof the curve, r is the rank of the Mordell-Weil group of the jacobian of the curve and s is…
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On cluster algebras and topological string theory
My PhD research is devoted to studies of the conjectural cluster-algebraic symmetry in the theory of topological string, which is the simplest, however already non-trivial sector in the theory of string.
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On the geometry of demixing: A study of lipid phase separation on curved surfaces
Like a mixture of oil and water, lipid membranes separate into two liquid phases.
- Microplastics
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Exploring deep learning for multimodal understanding
This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.
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Kummer theory for commutative algebraic groups
This dissertation is a collection of four research articles devoted to the study of Kummer theory for commutative algebraic groups.
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Data structures for quantum circuit verification and how to compare them
Quantum computers are a proposed fundamentally new type of computer. They aim to perform some computations much faster than previously possible by exploiting phenomena at the quantum scale, called superposition and entanglement.