1,411 zoekresultaten voor “border learning” in de Publieke website
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Joep Bor
Faculteit der Geesteswetenschappen
j.bor@inter.nl.net | +31 71 527 1480
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Philippe Bors
Faculteit der Geesteswetenschappen
p.p.bors@hum.leidenuniv.nl | +31 71 527 2727
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Carole de Bordes
Faculteit der Sociale Wetenschappen
c.a.m.de.bordes@cwts.leidenuniv.nl | +31 71 527 2727
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Longo, The Politics of Borders
Political scientist Matthew Longo (Leiden University) takes a detailed look at the evolution of border security in the United States after 9/11. Far from the walls and fences that dominate the news, he reveals borders to be thick, multi-faceted and binational institutions that have evolved greatly in…
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Cross-border Claims to Cultural Objects
Op 11 november 2021 verdedigde Evelien Campfens het proefschrift 'Cross-border Claims to Cultural Objects'. Het promotieonderzoek is begeleid door prof.dr. N.J. Schrijver en prof.dr. W.J. Veraart (VU Amsterdam).
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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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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Collaboration across borders: virtual learning between Leiden University College and Myanmar
Jyothi Thrivikraman set up a Virtual International Collaboration project with a university in Myanmar.
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Systemic Accountability of the European Border and Coast Guard
Op 11 november 2021 verdedigde Mariana Gkliati het proefschrift 'Systemic Accountability of the European Border and Coast Guard'. Het promotieonderzoek is begeleid door promotoren prof.dr. P. Rodrigues en prof.dr. L. Besselink (UvA).
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Leids onderzoek in de aandacht op Oxfords Border Criminologies Blog
Via een 6 tal publicaties, met bijdragen van Joanne van der Leun, Jelmer Brouwer, Tim Dekkers en Maartje van der Woude, wordt er tussen 7 – 18 maart op het Border Criminologies Blog reeds een kijkje in de resultaten van het onderzoeksproject'“Decision-making in Dutch Borderlands” gegeven.
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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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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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Transnational Terrorism as a Threat: Cross-Border Threats
Dit artikel analyseert de transnationaliteit van terroristische organisaties, waaronder fondsenwerving, communicatie, alliantievorming en doelselectie.
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Taxation of Cross-border Inheritances and Donations
Op 3 juni 2021 verdedigde Vassilis Dafnomilis zijn proefschrift 'Taxation of Cross-border Inheritances and Donations'. Het promotieonderzoek is begeleid door promotoren prof.dr. F. Sonneveldt en prof. dr. S. Douma (UvA).
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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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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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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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Borders in Dispute: The Construction of State and Nation in International Diplomacy
How are borders drawn? More specifically, how do diplomatic actors manage the implications of changes in state sovereignty for international borders?
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Professional learning: what teachers want to learn
Het doel van dit promotieonderzoek was te onderzoeken wat leraren zelf willen leren. De centrale onderzoeksvraag luidde: wat, hoe en waarom willen leraren leren? En hangt dit af van hun jaren leservaring en de school waarin ze werken?
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Betrokkenheid van studenten bij blended learning in het hoger onderwijs
Op welke manier kunnen docenten de betrokkenheid van studenten ondersteunen en vergroten in de context van blended learning?
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Learning from small samples
Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…
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Learning My Way
Learning about My meaningful Way through life and profession.
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E-learning ECMO
Deze e-learning vergroot uw theoretische kennis met betrekking tot de bediening van het Extra Corporele Membraan Oxygenatie (ECMO) systeem, de verschillende ECMO typen met indicaties en contra-indicaties en de meest voorkomende complicaties.
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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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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Centre for Professional Learning
Opleidingen voor professionals op academisch niveau om vraagstukken van vandaag en morgen rondom beleid en bestuur op te lossen. Het team van CPL bestaat uit academische professionals in public affairs, veiligheid, diversiteit en inclusie, publiek leiderschap, legal technology en communicatie.
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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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Legal Perspectives on the Cross Border Operations of Unmanned Aircraft Systems
Op 14 november 2019 verdedigde Luis Fiallos Pazmino zijn proefschrift 'Legal Perspectives on the Cross Border Operations of Unmanned Aircraft Systems'. Het promotieonderzoek is begeleid door promotoren prof.dr. P.M.J. Mendes de Leon en prof.dr. E.C.P.D.C. De Brabandere.
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Nonverbal Learning Disorder (NLD)
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E-learning Antibiotica allergie
Als zorgverlener komt u regelmatig in aanraking met patiënten die aangeven allergisch te zijn voor antibiotica. In deze online module leert u verschillende typen allergieën onderscheiden en dilemma’s uit de dagelijkse praktijk op te lossen.
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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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Mobility, Control and Technology in Border Areas: Discretion and Decision-making in the Information Age
Op 20 maart 2019 verdedigde Tim Dekkers zijn proefschrift 'Mobility, Control and Technology in Border Areas: Discretion and Decision-making in the Information Age'. Het promotieonderzoek is begeleid door promotoren prof. dr. J.P. van der Leun en prof. dr. M.A.H. van der Woude.
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Crossing borders - on the treatment of stage III melanoma and Merkel cell carcinoma
Promotie
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Reliable and Fair Machine Learning for Risk Assessment
The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.
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between an Emerging Regional Legal Order and Inter-regional Cross-border Insolvency – Challenges Faced by CICIA
Op dinsdag 27 september 2016 promoveert Xinyi Gong op haar proefschrift: A Balanced Way for China's Inter-Regional Cross-Border Insolvency Cooperation.
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Effects of the early social environment on song and preference learning in zebra finches
Songbirds as vocal learners learn their songs and song preference from social tutors. Tutor choice for both song and preference learning are important to characterize for understanding individual learning performance and cultural transmission of song.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Kunstmatige intelligentie en 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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Life long learning
Uw persoonlijke en professionele ontwikkeling stopt niet bij het behalen van uw diploma. De faculteit en universiteit bieden u tal van mogelijkheden om na uw studententijd voor een gereduceerd tarief trainingen en workshops te kunnen volgen. Zo kunt u zich blijven ontwikkelen.
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Leiden Learning & Innovation Centre
LLInC ondersteunt innovatief en hoogwaardig onderwijs, binnen de Universiteit Leiden en in samenwerking met onderwijs- en maatschappelijke organisaties.
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Sleep and learning in children
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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2 PhD Candidates, Reinforcement Learning for Sustainable Energy
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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Cross-border Resolution of Financial Institutions: Perspectives from International Insolvency Law
In deze publicatie worden problemen met betrekking tot de grensoverschrijdende afwikkeling van financiële instellingen onderzocht.
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Learning Problems and Impairments (international track) (MSc)
Deze masterspecialisatie leert je veelvoorkomende leerproblemen herkennen en behandelen.
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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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Broadening Youth Participation in STEM Learning
How can we broaden youth participation in STEM Learning
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E-learning Antibiotica voorschrijven in de eerstelijn
Voor zorgprofessionals is het is belangrijk om te weten wanneer u welke antibiotica moet voorschrijven. In deze e-learning leert u hoe de systematiek van behandeling met antibiotica werkt in de eerstelijn.