1,309 zoekresultaten voor “gravitational learning” in de Publieke website
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Gravitational waves through the cosmic web
The first direct detection of gravitational waves opened the possibility of mapping the Universe via this new and independent messenger.
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Cosmic tomography with weak gravitational lensing
We explored the Universe using weak gravitational lensing, a phenomenon that occurs when light from distant galaxies is bent by the gravitational fields of closer cosmic objects, much like how a lens distorts light.
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Weighing the Dark: Cosmological Applications of Gravitational Lensing
Promotor: K. Kuijken, Co-Promotor: H. Hoekstra
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Studying dark matter using weak gravitational lensing : from galaxies to the cosmic web
Of all the mass in our Universe, 80% is thought to consist of a hypothetical and invisible substance called dark matter (DM).
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Light Weighed: On the Statistics and Systematics of Weak Gravitational Lensing
In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.
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Into the Darkness: Forging a Stable Path Through the Gravitational Landscape
In this thesis we study the landscape of gravitational models which modify GR by introducing an additional scalar degree of freedom (d.o.f.) to source Cosmic Acceleration.
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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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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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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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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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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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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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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 My Way
Learning about My meaningful Way through life and profession.
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Exploring future multi-messenger Galactic astronomy
For centuries astronomers studied the Universe by collecting light. Nowadays, we are living in times of great technological advancements, which allow us to explore our Universe in a new way - though gravitational wave radiation.
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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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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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Exploring the Edge
At the largest scales, two ingredients dictate the distribution of matter in the Universe. The first is dark matter, acting as an invisible scaffolding held together by gravitational forces.
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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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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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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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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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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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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.
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E-learning Antibiotica voorschrijven in de tweedelijn
Bacteriële infecties behoren tot de meest voorkomende doodsoorzaken ter wereld. Als zorgprofessional in Nederland krijgt u waarschijnlijk ook te maken met het behandelen van dit soort infecties. Het is daarom belangrijk om te weten wanneer u welke antibiotica moet voorschrijven. In deze e-learning leert…
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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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Collaborative learning in higher education: design, implementation and evaluation of group learning activities
Samenwerkend leren in het hoger onderwijs: ontwerp, implementatie en evaluatie van groepsleeropdrachten
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Teachers' teaching and learning motivation in China
In de context van het Chinese onderwijs onderzocht Zhang welke invloed de leermotivatie van docenten heeft op de kwaliteit van hun onderwijs.
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E-learning Wet zorg en dwang
Ontdek de E-learning Wet zorg en dwang van Boerhaave Nascholing en leer over deze wet en uw rol als huisarts hierin. Lees hier meer!
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Increased striatal activity in adolescence benefits learning
De verhoogde activatie van het striatum, die adolescenten laten zien bij beloning, wordt meestal in verband gebracht met risicogedrag en negatieve gezondheidseffecten. In dit artikel in Nature Communications wordt een mogelijke positieve kant van die verhoogde activatie onderzocht. De activatiepiek…
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Automata Learning: from Probabilistic to Quantum
Promotie
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post-translationally modified peptides in Streptomyces with machine learning
The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.