1,941 zoekresultaten voor “gravitational learning” in de Publieke website
-
On a quest to discover where stellar-mass black holes merge: testing the AGN binary formation channel with spatial correlation analyses
The physical origin of the dozens of stellar-mass binaries, the mergers of which have been detected by the LIGO-Virgo-KAGRA collaboration via gravitational waves, is still unknown.
-
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.
-
Seeing voices: the role of multimodal cues in vocal learning
Humans and songbirds learn their vocalizations early in life by exposure to the vocalizations of adult conspecifics. Often, better learning outcomes are achieved with live, social, tutors than with audio-only exposure to vocalizations.
-
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.
-
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.
-
Over het Centre for Professional Learning
Het Centre for Professional Learning (CPL) is sinds 1999 hét expertisecentrum van de Universiteit Leiden in Den Haag voor leren en ontwikkelen in het publieke domein.
-
Exploring Open-World Visual Understanding with Deep Learning
We are living in an information era where the amount of image and video data increases exponentially.
-
The alignment of galaxies across all scales
Galaxy intrinsic alignments induce a major astrophysical contamination to weak gravitational lensing measurements and need to be modelled and mitigated when extracting cosmological information from such measurements.
-
XR (Extended Reality) to learn global challenges
Ontwikkeling van effectieve VR-training voor internationaal recht van gewapende conflicten (ILAC)
-
Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
-
Nonverbal Learning Disorder (NLD)
-
-
Centre for Professional Learning – Universiteit Leiden
Verbinden van wetenschap en praktijk: opleidingen die jouw leiderschap en impact versterken.
-
Playing dice with the Universe
The ultimate goal of cosmologists is to find a cosmological model able to explain the current observational data.
-
the Gap Between Design and Implementation for Technology-Enhanced Learning Systems
Technologies that help to enhance our educational environments can be found everywhere.
-
about bilingual education? A window on Content and Language Integrated Learning pedagogies
In Nederland bieden ongeveer 130 van de 700 middelbare scholen een tweetalige stroom aan. Toch is er nog maar weinig wetenschappelijk onderzoek naar CLIL (content and language integrated learning). Met haar proefschrift wil Evelyn van Kampen (promovendus bij het ICLON) bijdragen aan een beter begrip…
-
Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.
-
The connection between mass and light in galaxy clusters
Promotor: Koen Kuijken Co-promotor: Henk Hoekstra
-
LABDA (Learning Network for Advanced Behavioural Data Analysis)
Onderzoeken hoe gegevens afkomstig van draagbare technologieën kunnen worden gebruikt om effectieve gedragsveranderingen te identificeren die hopelijk zullen leiden tot gezondheidsverbeteringen.
-
Information-theoretic partition-based models for interpretable machine learning
In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.
-
Sleep and learning in children
-
-
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.
-
Galaxy alignments from multiple angles
Galaxies form and live inside dark matter haloes. As a consequence, they are exposed to the tidal fields generated by the surrounding matter distribution: this imprints a preferential direction to the galaxy shapes, which leads to a coherent alignment on physically close galaxies, called intrinsic a…
-
The galaxy–dark matter connection: a KiDS study
In this thesis, the research focuses on the properties of dark matter and dark matter haloes and how they connect with the galaxies we can observe in the Universe.
-
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…
-
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
-
Learning class-imbalanced problems from the perspective of data intrinsic characteristics
The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.
-
Diffusion Analysis in Online Social Networks based on Deep Representation Learning
With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.
-
Learning from texts: Extending and revising knowledge
Wat doe je als je iets te weten wilt komen? Tegenwoordig gebruikt men voornamelijk het internet om informatie te verkrijgen. Een lezer moet deze informatie vaak uit meerdere bronnen halen en die bronnen met elkaar in verband brengen, om zo een compleet plaatje te vormen van het onderwerp. Soms is de…
-
Formative Assessments and Teacher Professional Learning
Hoe kan formatieve assessment worden ingezet om het leren van docenten te bevorderen? Dit boek bevat diverse onderzoeken naar professionaliseringsaanpakken en cursussen waarin formatieve assessment wordt aangewend met het oog op het leren van docenten.
-
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.
-
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…
-
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.
-
The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
-
Development of a academic monitoring system for students with learning problems in secondary school
Students with learning problems experience difficulties in reading, writing, and content-area learning into and throughout their secondary-school years
-
Blended learning wordt niet effectief ingezet
Forse ICT-investeringen om het onderwijs te vernieuwen, leveren bijzonder weinig op voor het studiesucces van studenten. Dit blijkt uit het proefschrift van Nynke Bos, onderwijskundig onderzoeker bij het ICLON.
-
Aggravating matters: accounting for baryons in cosmological analyses
Three major cosmology-focused missions are planned for the next decade: the Euclid space telescope, the Vera C. Rubin Observatory in Chile, and the Nancy Grace Roman Space Telescope.
-
Pharmacokinetics Nonlinear BBB Transport, Inter-species Scaling, and Machine Learning
This thesis focuses on enhancing predictions of central nervous system drug exposure using the LeiCNS-PK3.0, a physiologically based pharmacokinetic model.
-
Solving the Gravitational N-body Problem with Machine Learning
Promotie
-
Blended learning en de betrokkenheid van studenten
Hoe kunnen universiteiten studenten beter betrekken bij blended learning-omgevingen? Het proefschrift van Linyuan Wang (promovendus bij het ICLON) biedt essentiële inzichten. Blended learning is een combinatie van traditionele klassikale instructie met digitale hulpmiddelen en online activiteiten.
-
Teacher professional learning and collaboration in secondary schools
De focus van dit proefschrift is het leren en de samenwerking van docenten in het voortgezet onderwijs.
-
Collaborative learning in conservatoire education: catalyst for innovation
Het doel van dit proefschrift is om eerst te onderzoeken welke vormen van samenwerkend leren bij de verschillende conservatoria in de praktijk worden gebracht, om vervolgens te kijken naar hoe samenwerkend leren kan worden geïmplementeerd.
-
Individual teacher learning in a context of collaboration in teams
In dit proefschrift staat het leren van ervaren docenten in een context van samenwerking in interdisciplinaire teams centraal.
-
Libraries as Links in Learning: Making the Meaning of Manuscripts
Dit project onderzoekt de professionalisering van universiteitsbibliotheken in de negentiende en vroege twintigste eeuw, door de lens van het middeleeuwse handschriftenbezit. Met de Leidse Universiteitsbibliotheek als uitgangspunt werpt het licht op de veranderende praktijken rond het conserveren, behandelen…
-
Open-world Continual Learning via Knowledge Transfer
Promotie
-
Luc SträterWiskunde en Natuurwetenschappen
-
Veronica Saz UlibarrenaWiskunde en Natuurwetenschappen
-
Hunting for the fastest stars in the Milky Way
The high velocity tail of the total velocity distribution of stars provides essential insight into fundamental properties of the Galaxy.
-
Probing the darkness: the link between baryons and dark matter
Promotor: Prof.dr. J. Schaye, Co-promotor: Marcello Cacciato
-
Marijn PrinsWiskunde en Natuurwetenschappen
-
PNAS Paperprijs voor quantum machine learning
‘We hopen dat ons artikel de mogelijkheden en voordelen laat zien van het gebruik van kunstmatige intelligentie in de quantumfysica om nieuwe ontdekkingen te doen.’ Vedran Dunjko van het Leiden Institute of Advanced Computer Science droeg bij aan een artikel dat vorig jaar verscheen in PNAS. Het artikel…