595 zoekresultaten voor “algorithms decisions” in de Publieke website
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Blijvende anti-Russische politiek in Westen onverstandig
Het Westen, de VS en de EU voorop, probeert voor Rusland de prijs van de oorlog op te voeren, door Oekraïne met geld en wapens te steunen en door Rusland uit te sluiten van financiële markten. Maar een voortdurende anti-Russische politiek, betoogt politicoloog Hans Oversloot (Universiteit Leiden), is…
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Andeweg, Irwin & Louwerse, Governance and Politics of the Netherlands
Al jaren hét standaardwerk over politiek en openbaar bestuur in Nederland. Volledig, diepgaand en up-to-date.
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Downsize My Democracy? The Democratic Consequences of Decentralization
Wat zijn de gevolgen van de toenemende decentralisering en regionalisering voor de democratie in Europa?
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European Integration
Deze onderzoekscluster maakt deel uit van het onderzoeksprogramma ‘Institutions, Decisions and Collective Behaviour’.
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Politics in the Netherlands
Binnen het onderzoeksprogramma ‘Institutions, Decisions and Collective Behaviour’ richt het onderzoekscluster ‘Politics in the Netherlands’ zich op de Nederlandse politiek. De onderzoekers bestuderen de opzet en het functioneren van de politieke instituties en kijken naar de attitudes en het gedrag…
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Climatization of EU Policies: The Case of Maritime Transport (EU-CLIMT)
Op welke manier beïnvloedt klimaatsturing de governance van de Europese Unie en de macht van de betrokken actoren?
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Countering Jihadi Insurgencies in Africa: Repress, Resist & Reorder (COUNTERRR)
Hoe reageren de Afrikaanse landen Mali, Nigeria en Mozambique op gewapende jihadistische groeperingen in Afrika? Zien we verschillende patronen in repressie door de staat, weerstand van de gemeenschap en, in samenhang daarmee, de veiligheidssituatie in deze landen?
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Natália KubalováFaculteit der Sociale Wetenschappen
n.kubalova@fsw.leidenuniv.nl | 071 5272727
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Contact
Algemene contactinformatie
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615 miljoen voor quantumonderzoek
Het Quantum Delta NL-programma, waaraan de Universiteit Leiden deelneemt, krijgt 615 miljoen euro uit het Nationaal Groeifonds om Nederland te ontwikkelen tot een koploper in quantumtechnologie. Dit werd vandaag bekend gemaakt bij de presentatie van de winnende voorstellen in Den Haag.
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Europese beurs om zelflerend vermogen van quantumcomputers verder te brengen
Een grote beurs voor onderzoek naar ‘machine learning’ algoritmes voor quantumcomputers. Met deze ERC Consolidator-beurs hopen Vedran Dunjko en zijn collega’s te ontdekken welke problemen uit de echte wereld een quantumcomputer sneller kan oplossen dan een normale.
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De quantumcomputer: hij bestaat nog niet, maar toch weten we steeds beter welke problemen hij op kan lossen
Hoe weten we waar een quantumcomputer goed voor is, terwijl die nog niet gebouwd is? Dat onderzocht promovendus Casper Gyurik door twee begrippen die je vaak hoort te combineren: quantum computing en machine learning.
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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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Automata learning: from probabilistic to quantum
This thesis advances automata learning, a key area in computer science, with applications in software verification, biological analysis, and autonomous technologies. It explores three main themes: first, it introduces a passive learning algorithm for generating compact probabilistic models from positive…
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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Efficient tuning of automated machine learning pipelines
Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…
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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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Applications of topology to Weyl semimetals and quantum computing
This thesis covers various applications of topology in condensed matter physics and quantum information.
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Classical and paramagnetic NMR spectroscopy applied to different protein systems
Promotor: Prof.dr. M. Ubbink
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SAILS Lunch Time Seminar: Tom Kouwenhoven
Lezing
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Frank TakesFaculteit der Wiskunde en Natuurwetenschappen
f.w.takes@liacs.leidenuniv.nl | 071 5277143
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PhD
Promotieonderzoek is veeleisend en belonend. Of het nu gaat om een stap in je academische carrière of om de laatste fase in je universitaire opleiding, promotieonderzoek vereist denkkracht, creativiteit en doorzettingsvermogen. Het Instituut Politieke Wetenschap biedt je een professionele en ondersteunende…
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Onderzoek
Het Instituut Politieke Wetenschap heeft een zeer divers onderzoeksprogramma. Dit programma dient twee doelen: het bevorderen van de eenheid van het Instituut als een intellectuele gemeenschap van sociale wetenschappers en politicologen en om collega’s met overlappende interessegebieden in staat te…
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De zoektocht naar een ‘quantumvoordeel’
Het bewijs dat een quantumcomputer sneller is dan een normale is een stap dichterbij gekomen. Na een doorbraak in het versnellen van klassieke algoritmen, toonden onderzoekers Vedran Dunjko en Casper Gyurik aan dat slechts één quantumalgoritmen zijn klassieke tegenhanger kon verslaan. Ze vertellen over…
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Anne StiggelboutFaculteit Geneeskunde
a.m.stiggelbout@lumc.nl | 071 5264575
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Environmental opportunities and challenges for IoT technologies in sustainable supply chain operations: from industries to products
IoT technology poses serval opportunities to supply chains. This thesis employs grey correlation and forecasting models, system dynamics, agent-based modeling, and ex-ante LCA to investigate and quantify the opportunities and risks of IoT-enabled sustainable supply chain operations from both industrial…
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Play by the rules? : coordination of EU sustainable development policies and the importance of the politico-legal context
There is an increasing amount of attention on EU and its Member States contributions to implementation of two landmark agreements: the Paris Climate Agreement and the UN Agenda 2030 with Sustainable Development Goals (SDGs). Absent from the current literature is an analysis of the political effect of…
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Publicaties
Publicaties die voortkomen uit het AFITE-project
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Accountability and data-driven urban climate governance
The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.
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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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Grip on software: understanding development progress of SCRUM sprints and backlogs
Software development is a complex process. It is important that software products become stable and maintainable assets.
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Babak Rezaeedaryakenari
Teaching the Future: AI-Enhanced Education for Student Engagement and Ethical Learning.
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
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Calculated Moves: Generating Air Combat Behaviour
By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.
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Novel approaches for direct exoplanet imaging: theory, simulations and experiments
The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Faint Quasars at Very Low Frequencies
In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Casting light on the ƞ Carinae puzzle
Promotor: Prof.dr. V. Icke, Co-Promotor: T.I. Madura
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Strategies for braiding and ground state preparation in digital quantum hardware
With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.
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Aria of the Dutch North Sea
Promotores: C. J. ten Cate; M. A. Ainslie. Co-promotor: W. Slabbekoorn
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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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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Quantumcomputers
Algoritmen ontwerpen is een van de onderzoeksonderwerpen waar Leiden sterk in is. Want supercomputers moeten niet alleen gebouwd worden, maar ook geprogrammeerd. Wetenschappers van internationale faam doen hier onderzoek naar.
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Latency, Energy, and Schedulability of Real-Time Embedded Systems
Systems are called real-time systems, if the correctness of the system does not only depend on the correctness of the system output but also on whether the output is delivered on time.
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The unit residue group
The unit residue group, to which the present thesis is devoted, is defined using the norm-residue symbol, which Hilbert introduced into algebraic number theory in 1897.
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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Automata-theoretic protocol programming
Promotor: F. Arbab