778 search results for “gravitational learning” in the Public website
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Matthijs van Leeuwen
Science
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Evert van Nieuwenburg
Science
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Information activities
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Weighing heavenly bodies based on bending light
Many astronomers suspect that most of the matter in the universe is invisible. So how can you weigh dark matter if you can't actually see it? Professor Henk Hoekstra is looking for a solution. Inaugural lecture 25 June.
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Efficient Tuning of Automated Machine Learning Pipelines
PhD defence
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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.
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Individual teacher learning in a context of collaboration in teams
In this study we aimed to examine teacher learning within a context of collaboration in interdisciplinary teams.
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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.
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Teacher professional learning and collaboration in secondary schools
This dissertation focuses on teacher professional learning and collaboration in secondary schools.
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Effects of interdependency between teachers in professional learning communities on differentiated teaching based on cognitive differences of
What relationships exist between different types of PLCs and cognitive differentiated teaching?
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What we can learn from the Mycenaeans
The Mycenaean civilization of ancient Greek times offers enormous potential for useful information: from innovative construction methods to ways of handling crisis situations as a society. Archaeologist Ann Brysbaert and her team analyse Mycenaean construction processes in the ERC Consolidator project…
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Learning and Behavior Problems in Education: Challenges and Solutions
The program group Learning and Behavior Problems in Education: Challenges and Solutions strive to find solutions to the learning and behavior challenges faced by preschool and elementary-school children, youth, and young adults in education. In doing so, the group focuses on cognition and behavior and…
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TAILOR - Trustworthy AI through the integration of learning
The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…
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Self-learning machines for better understanding of the universe
Bright explosions appear all over the radio and gravitational-wave sky. This dynamic side of the universe which has just been discovered, can be mapped by self-learning machines. The National Science Agenda granted 5 million euro’s to CORTEX, the Center for Optimal, Real-Time Machine Studies of the…
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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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about bilingual education? A window on Content and Language Integrated Learning pedagogies
In the Netherlands approximately 130 out of 700 secondary schools offer a bilingual stream. However, research about CLIL (Content and Language Integrated Learning) is limited. With her dissertation Evelyn van Kampen (PhD student at ICLON) wants to contribute to the understanding of the nature and range…
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Unveiling dark structures with accurate weak lensing
Improvements of weak gravitational lensing shape measurements are presented and some used for data analysis.
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Learning the Right Lessons for the Next Pandemic
This report highlights the huge potential of public inquiries to ensure that lessons are learned from COVID-19 to help the UK prepare for a future pandemic.
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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.
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Neural correlates of vocal learning in songbirds and humans: cross-species fMRI studies into individual differences
Vocal learning is a trait shared by songbirds and humans. It is also a trait that is restricted by the brain rather than by a species' vocal apparatus. In this dissertation, functional MRI is employed in both species in order to explore potential common neural mechanisms underlying the ability to develop…
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Contact
The program group Learning and Behavior Problems in Education is located in the Faculty of Social and Behavioural Sciences of Leiden University near Central Station.
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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.
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Postdoc on Causal Machine Learning for Spatio-temporal Datasets
Science, Leiden Institute of Advanced Computer Science (LIACS)
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Cosmic tomography with weak gravitational lensing
PhD defence
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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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Subodh Patil Group - Particle Cosmology
Our research primarily focuses on the early universe and its origins in theories that go beyond the Standard Model of particle physics.
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Modular learning: Enrolling in a single course
Do you want to be part of this unique programme, discuss cutting-edge topics of cyber security with other professionals, but do you not have time to enroll in this full master programme?
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ECOLE: Experience-based COmputation: Learning to optimisE
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…
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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.
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Folke Glastra
Faculteit der Sociale Wetenschappen
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Tom Kouwenhoven
Science
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Evin Aktar
Faculteit der Sociale Wetenschappen
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Iris Koele
Faculteit der Sociale Wetenschappen
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Simone Rijksen
ICLON
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Surendra Balraadjsing
Science
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Bart Vogelaar
Faculteit der Sociale Wetenschappen
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What we can learn from hi-tech nature
Biodiversity in the Netherlands is having a tough time. Professor of Natural Capital Koos Biesmeijer combines research with practical advice: from the greening of industrial parks to solutions inspired by hi-tech nature. Inaugural lecture 9 March.
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How Euclid will reveal the dark side of the Universe
ESA’s Euclid mission is to reveal the dark side of the Universe. But how? Professor of Observational cosmology Henk Hoekstra explains it in his interview with Space Team Europe and Horizon Magazine. He uses enlightening examples such as… a swimming pool! Listen to Henk Hoekstra to understand how Euclid…
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Applications of AdS/CFT to strongly correlated matter: from numerics to experiments
What physics controls the properties of quantum matter, such as how electrons flow inside high-temperature superconductors? This question has captivated the physics community and industry for decades, in part due to the great technological potential such materials have, but also because they have resisted…
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Simple rule learning is not simple: Studies on infant and adult pattern perception and production
On December 11th, Andreea Geambasu succesfully defended her doctoral thesis and graduated. The Leiden University Centre for Linguistics congratulates Andreea on this great result.
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Professional learning of vocational teachers in the context of work placement
Work placement as a professional development programme for vocational teachers has been widely implemented. This dissertation provides insight into vocational teachers’ learning process in this programme within Chinese vocational education.
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Segments and rules: a comparative study on linguistic rule learning mechanisms
A central and much debated topic in the study of language acquisition concerns the nature of the learning mechanisms that are required. Are the computational and learning mechanisms that guide learning about language structure special and specific to language or humans?
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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…
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characteristics of a negotiated assessment procedure to promote teacher learning
The literature indicates that teacher professional development and learning may be improved by using formative assessment procedures. This thesis focuses on a specific form of formative assessment, negotiated assessment, which is characterised by the exchange of views between assessor and assessee and…
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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…
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Learner–learner interaction in digital learning environments: what and how are we measuring?
Galikyan’s dissertation examines how the multidimensionality of learnerlearner interaction data and the multifacetedness of learner-learner interaction itself impact the measurement of learner-learner interaction in digital learning environments.
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Stephan Raaijmakers: 'Humans and systems have to learn to understand each other better'
You can ask virtual assistant Siri about the weather, but you can’t have a real conversation with it yet. You can’t refer to anything that’s been said before, or ask the system why it says what it says. Stephan Raaijmakers, Professor by Special Appointment from TNO, hopes to change this.
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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.
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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Alessandra Silvestri Group - The Late Universe
We are cosmologists, in other words we use physics to study the Universe, how it started and evolved into the structure that we observe around us.