595 zoekresultaten voor “algorithms decisions” in de Publieke website
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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.
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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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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Methods to simulate fermions on quantum computers with hardware limitations
This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.
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A blessing in disguise?! Discretion in the context of EU decision-making, national transposition and legitimacy regarding EU directives
Op 27 september promoveert Josephine Hartmann op haar proefschrift: A blessing in disguise?! Discretion in the context of EU decision-making, national transposition and legitimacy regarding EU directives.
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Mondiale alliantie zet quantumsoftware in de schijnwerpers
Quantumsoftware is essentieel om quantumtechnologie te laten werken. De onderzoekscentra QuSoft en aQa werken samen aan de frontlinie van het Nederlandse onderzoek naar quantumsoftware. Met de lancering van de Quantum Software Alliance (QSA) schaalt deze samenwerking nu wereldwijd op.
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The Many Faces Of Online Learning
In this dissertation several settings in the Online Learning framework are studied. The first chapter serves as an introduction to the relevant settings in Online Learning and in the subsequent chapters new results and insights are given for both full-information and bandit information settings.
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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
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Inverse Jacobian and related topics for certain superelliptic curves
To an algebraic curve C over the complex numbers one can associate a non-negative integer g, the genus, as a measure of its complexity.
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Novel system-inspired model-based quantum machine learning algorithm for prediction and generation of High-Energy Physics data
De huidige en toekomstige quantumcomputers vormen dezelfde uitdaging als de laser in zijn begindagen. In theorie werd voorspeld dat de laser een bron van zeer speciaal, zeer krachtig licht zou zijn. Maar in die tijd waren er geen duidelijke toepassingen voor. Critici van het idee noemden het een probleem…
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Meta-heuristics for vehicle routing and inventory routing problems
Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich
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On the computation of norm residue symbols
An algorithm is discussed to compute the exponential representation of principal units in a finite extension field F of the p-adic rationals.
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Ivan Olarte RodriguezFaculteit der Wiskunde en Natuurwetenschappen
i.olarte.rodriguez@liacs.leidenuniv.nl | 071 5272727
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Reconstruction Methods for Combined HAADF-STEM and EDS Tomography
The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.
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Targeted Informed consent: empowering young participants in medical-scientific research
Promotor: J.M. van den Broek Co-promotor: M.C. de Vries
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Aspects of the analysis of cell imagery: from shape to understanding
In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.
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Ananta ShahaneFaculteit der Wiskunde en Natuurwetenschappen
a.a.shahane@liacs.leidenuniv.nl | 071 5272727
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How can humans and machines collaborate in a meaningful way in a restrictive environment?
In this project, researchers from computer science, law, psychology, and public administration research in practice how artificial intelligence (AI) can be leveraged to make decision-making in the security domain more effective, while also keeping it safe and accountable.
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Complex multiplication of abelian surfaces
Promotor: Peter Stevenhagen
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Modular curves, Arakelov theory, algorithmic applications
Promotor: S.J. Edixhoven, Co-promotor: R.S. de Jong
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Structural Properties of Single Server Queueing Systems: Efficient Methods via Lumping and Dynamic Programming
This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Gestandaardiseerde en reproduceerbare meting van besluitvaardigheid bij muizen
In de wetenschap is het van vitaal belang dat meerdere studies hetzelfde resultaat onderschrijven. Onderzoekers moeten daarom alle details van eerdere experimenten kennen om de procedures zo exact mogelijk uit te kunnen voeren. Dit is echter een steeds groter probleem in de neurowetenschappen. Het is…
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Chinese assertiveness and the rise of Xi Jinping: ideational mobilization, elite contestation, and the struggle over regional order
In 2009-2010 ontstond in het westerse discours het idee van een meer ‘assertief’ China, een opvatting die China krachtig van de hand wijst. Niettemin is, vooral sinds Xi Jinping in 2012 aan de macht kwam, duidelijk dat China zijn lang gehanteerde buitenlandse beleidsdoctrine van ‘een lage profilering…
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Panel over Landmark Decisions tijdens ISLSSL World Congres in Rome groot succes
Yvonne Erkens en Fieke Weber, beiden werkzaam bij de Afdeling Sociaal Recht hebben onlangs namens het journal ILaRC een panel georganiseerd tijdens het ISLSSL World Congres in Rome. Dit panel, getiteld ‘Landmark Decisions on Fundamental Labour Standards: A Decade of Impact’, werd georganiseerd ter ere…
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Chenyu ShiFaculteit der Wiskunde en Natuurwetenschappen
c.shi@liacs.leidenuniv.nl | 071 5272727
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
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Joon Hyung LeeFaculteit der Wiskunde en Natuurwetenschappen
j.h.lee@liacs.leidenuniv.nl | 071 5272727
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Quantum Limits
Grenzen van quantum-theorieën verleggen, dat is precies waar de natuurkundigen van de Universiteit Leiden goed in zijn. Leidse onderzoekers starten acht nieuwe quantum-onderzoeksprojecten binnen het consortium Quantum Limits.
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Hybrid Quantum-Classical Metaheuristics for Automated Machine Learning Applications
This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.
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Learning in Automated Negotiation
This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…
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Het miljard deeltjes probleem
Promotor: Prof.dr. S. Portegies Zwart
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Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
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Arend-Jan QuistFaculteit der Wiskunde en Natuurwetenschappen
a.quist@liacs.leidenuniv.nl | 071 5272727
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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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Mens in de machine (najaar 2022)
Eerlijke en creatieve AI
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Machine Learning
Computers zijn in staat om ongelooflijk nauwkeurige voorspellingen te doen op basis van machine learning. Met andere woorden, deze computers kunnen zonder tussenkomst leren als ze eenmaal door mensen zijn voorgeprogrammeerd. Bij LIACS verkennen en verleggen we de grenzen van wat een revolutionaire nieuwe…
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Cursus (Engelstalig): Algorithms in Algebra
Cursus
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy
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Wil je meer leren over quantum? Deze spelletjes maken het leuk
Boter-kaas-en-eieren, maar dan met quantumeffecten. Zo leer je de beginselen van quantumtechnologie in een fluitje van een cent. Daar zet onderzoeker Evert van Nieuwenburg op in met zijn nieuwe start-up: QuantumPlayed. ‘Quantum is overal om ons heen en zo kan iedereen erover leren.’
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Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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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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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: Prof.dr. J.P. Abrahams, Co-Promotor: N.S. Pannu
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Vincent CroftFaculteit der Wiskunde en Natuurwetenschappen
v.a.croft@liacs.leidenuniv.nl | 071 5272727
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Guilherme PerinFaculteit der Wiskunde en Natuurwetenschappen
g.perin@liacs.leidenuniv.nl | 071 5272727
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Prosecutorial Discretion in International Criminal Justice
Op 23 februari 2022 verdedigde Cale Davis het proefschrift 'Prosecutorial Discretion in International Criminal Justice'. Het promotieonderzoek is begeleid door prof.dr. C. Stahn en dr. J.C. Powderly.