2,423 zoekresultaten voor “supervised machine learning” in de Publieke website
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Artificial intelligence and machine learning
Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Artificial Intelligence & Machine Learning
Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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of 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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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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PhD candidate || Modelling plasma surface interactions with machine learning
Wiskunde en Natuurwetenschappen, Leids Instituut voor Chemisch Onderzoek (LIC)
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Research scientific programmer, Automated machine learning for spatio-temporal Earth Observation datasets
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron, Co-Promotor: P. van der Putten
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Supervision
This section contains information on:
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Training and Supervision Plan
In the course of your PhD you make agreements with your supervisors concerning your personal development and the supervision you receive. These agreements should be recorded in a Training and Supervision Plan. This plan contains agreements concerning your research, supervision, training, and potential…
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PhD Supervision Excellence Training for Academic Staff
Training
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Education and Supervision Plan
At the start of your PhD, you make agreements with your supervisors concerning your personal development and the supervision you receive. These agreements should be recorded in an Education and Supervision Plan.
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Training and Supervision Plan
In the course of your PhD you make agreements with your supervisors concerning your personal development and the supervision you receive. No later than three months after the start of your appointment, these agreements should be recorded in a Training and Supervision Plan. External PhD candidates must…
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SKO individual supervision
Didactiek
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Training and Supervision Plan (OBP)
Within 3 months of the start of the PhD project, your supervisors and you will draw up a Training and Supervision Plan in consultation with you and the other members of the supervision team.
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The holographic glass bead game: from superconductivity to time machines
Promotores: Prof.dr. J. Zaanen & Prof.dr. K.E. Schalm
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Automated Design and Analysis of Algorithms
The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.
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Language as a time machine
By studying language you can reconstruct the history of different communities, even when no other historical sources, such as written documents, are available. In the coming years, researchers Willem Adelaar and Marian Klamer will be carrying out this kind of reconstruction in areas of great linguistic…
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Legibility in the Age of Signs and Machines
Legibility in the Age of Signs and Machines offers a compelling reflection on what the notion of legibility entails in a machinic world in which any form of cultural expression – from literary texts, films, artworks and museum exhibits to archives, laws, computer programs and algorithms – necessarily…
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PNAS Paper Prize for quantum machine learning
‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…
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Novel system-inspired model-based quantum machine learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
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Machine learning predicts preferences
Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.
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Methods and Tools for Mining Multivariate Time Series
Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.
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Kroese-Duijsters Symposium 2022: Molecular Receptors and Machines in Lipid Bilayer Membranes
Congres/symposium
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Frans Rodenburg
Wiskunde en Natuurwetenschappen
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Wouter van Loon
Faculteit der Sociale Wetenschappen
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Teachers’ professional learning preferences
How do secondary school teachers’ professional learning preferences relate to teaching experience and the school context?
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The Enforcement of Offender Supervision in Europe. Understanding Breach Processes
This book provides a comparative analysis of the process of breach across ten different European jurisdictions by identifying and elaborating a number of key analytical themes through which the different systems can be compared and evaluated.
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Learning labs in conservatoire education
Music profession requires strong reflective, collaborative, creative and improvisational skills, yet prevailing one-to-one tuition in conservatoire education focuses mainly on transmission of craft skills. Examining effects of students' collaborative and experiential learning, as in learning labs, creates…
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Semi-supervised learning paper selected as 2020 NatureSpringer Research Highlight
An article that Holger Hoos, Professor of Machine Learning at the Leiden Institute of Advanced Computer Science (LIACS), wrote with his former Master student Jasper van Engelen has been selected by SpringerNature as one of six Research Highlights in Computer Science of 2020. After becoming an ACM Fellow…
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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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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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Florence Nightingale Colloquium
Lezing, colloquium
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Professional learning communities for mentors of novice teachers
Professional learning communities are useful for professionalization but also for the development of induction programmes. In this project, we combine these two worlds into a professional learning communities in which mentors or novice teachers learn about mentoring and at the same time develop an induction…
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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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Interview - ‘I learn a lot from my students’
'I am very honored to be nominated for the Teacher of the Year Award,’ says dr. Jan van Rijn. Every autumn he teaches the course Automated Machine Learning, which he set up himself at Leiden University.
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Nonverbal Learning Disorder (NLD)
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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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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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Collaborative learning in teacher education: Intended, implemented and experienced curriculum
How is collaborative learning in teacher education designed and implemented? How do students experience those collaborative learning assignments? What aspects of the design and the implementation lead to which perceived learning outcomes?
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Sleep and learning in children
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Managing Diversity: Supervising Functions in Managing Colonial Workplaces
Managing Diversity: Supervising Functions in Managing Colonial Workplaces
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Patrick Groenen speaks at the Florence Nightingale Colloquium
Lezing
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Machine Learning Improves Cross-border Tax Estimates
Multidisciplinary research has established that VAT-results are in practice six times lower than what it should have been. The new estimates rely on machine learning techniques.
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Collaborative learning in higher education: design, implementation and evaluation of group learning activities
The aim of this study was to provide insight into how teachers in higher education can be supported in the design, implementation and evaluation of group assignments by developing a theoretical and evidence-based framework for the design of group assignments.
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Financial Market Regulation and Supervision in: The Law of the European Union
Matthias Haentjens, Jouke Tegelaar and Dorine Verheij have recently published the chapter Financial Market Regulation and Supervision in the new volume of the prestigious The Law of the European Union (previously Kapteyn and VerLoren van Themaat).
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Professional learning: what teachers want to learn
The aim of this thesis was to examine what teachers want to learn themselves. The main research question was: what, how and why teachers want to learn? And does this depend on their years of teaching experience and the school at which they work?
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Collaborative learning in conservatoire education: catalyst for innovation
The aim of this research project was to increase understanding of which collaborative learning approaches already exist in conservatoire education, and how implementation of collaborative learning could be supported.
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Increased striatal activity in adolescence benefits learning
Heightened activation of the striatum that adolescents show in response to reward is often associated with risk-taking and negative health consequences. This article in Nature Communications investigates a potential positive side of this heightened activation. It shows that the activity peak in late…