200 zoekresultaten voor “algorithms” in de Publieke website
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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Joint Lectures on Evolutionary Algorithms
Lezing
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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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Basis reduction for layered lattices
Promotor: H.W. Lenstra
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Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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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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Computability of the étale Euler-Poincaré characteristic
Promotor: S.J. Edixhoven, L.D.J. Taelman
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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: Prof.dr. J.P. Abrahams, Co-Promotor: N.S. Pannu
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Onderzoek
Computers worden steeds krachtiger en krijgen steeds ingewikkelder taken. Het Leiden Institute of Advanced Computer Science (LIACS) doet baanbrekend wetenschappelijk onderzoek en past nieuwe vindingen toe in actuele maatschappelijke vraagstukken.
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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Joint Lectures on Evolutionary Algorithms - November 2023
Lezing
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Radicals in arithmetic
Promotor: Prof.dr. P. Stevenhagen, Co-promotor: B. de Smit
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Structure and substructure in the stellar halo of the Milky Way
Promotor: K.H. Kuijken
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
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Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
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Quantum computation with Majorana zero modes in superconducting circuits
Promotor: Prof.dr. C.W.J. Beenakker
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Links between cohomology and arithmetic
Promotor: S.J. Edixhoven
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Don't Blink: Detecting transiting exoplanets with MASCARA
This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.
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Algoritmes en Software Technologie
Het Algorithms and Software Technology (AST) onderzoeksprogramma voert onderzoek uit op het gebied van algoritme-ontwerp en analyse.
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Extrasolar Planet Detection Through Spatially Resolved Observations
Promotor: I. Snellen, Co-Promotor: M. Kenworthy
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Inhibitor Selectivity: Profiling and Prediction
Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.
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Focal-plane wavefront sensors for direct exoplanet imaging: Theory, simulations and on-sky demonstrations
One of the key limitations of the direct imaging of exoplanets at small angular separations are quasi-static speckles that originate from evolving non-common path aberrations (NCPA) to which the primary adaptive optics system is inherently blind. The main focus of this thesis is the development and…
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Improved Strategies for Distance Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.
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Progressive Indexes
Interactive exploration of large volumes of data is increasingly common, as data scientists attempt to extract interesting information from large opaque data sets. This scenario presents a difficult challenge for traditional database systems, as (1) nothing is known about the query workload in advance,…
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Postdoctoral researcher within the project 'The archive in the fish cellar'
Geesteswetenschappen, Centre for the Arts in Society
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Joon Hyung Lee
Wiskunde en Natuurwetenschappen
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Tautological differential forms on moduli spaces of curves
In this thesis we study the moduli space of genus g curves, and the differential forms that occur naturally on this moduli space.
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Inverse design of curvature-sensing antiviral peptides
Viral diseases constitute one of the major challenges in modern medicine. Membrane-targeting have broad-spectrum potential and could distinguish viral membranes from the host cell plasma membrane by the difference in membrane curvature.
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Felix Frohnert
Wiskunde en Natuurwetenschappen
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Frank Takes
Wiskunde en Natuurwetenschappen
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Justin Lian
Wiskunde en Natuurwetenschappen
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Nieuw paradigma voor visuele herkenning
Informatici Yu Liu, Yanming Guo en Michael Lew van de Universiteit Leiden zijn een stap dichterbij hun ultieme doel: zoekmachines met visuele herkenning. Hun publicatie van een nieuw algoritme voor het samenvoegen van multi-scale deep learning representaties is met groot enthousiasme ontvangen. Geen…
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Contact
Algemene contactinformatie
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Arend-Jan Quist
Wiskunde en Natuurwetenschappen
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Decompositions in algebra
We show that Kirchhoff ’s law of conservation holds for non-commutative graph flows if and only if the graph is planar. We generalize the theory of (Euclidean) lattices to infinite dimension and consider the ring of algebraic integers as such a lattice.
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Turtles all the way down: multiscale simulations connecting star and planet formation
The formation of stars and planets happens over multiple scales, which can interact. In particular, planet formation happens in the dense, complex environment of star forming regions.
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Classical and paramagnetic NMR spectroscopy applied to different protein systems
Promotor: Prof.dr. M. Ubbink
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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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Instituut voor Informatica aan de Universiteit Leiden
Leiden Institute of Advanced Computer Science (LIACS)
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Novel approaches for direct exoplanet imaging: theory, simulations and experiments
The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.
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System-level design for efficient execution of CNNs at the edge
A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.
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Calculated Moves: Generating Air Combat Behaviour
By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Geometric quadratic Chabauty and other topics in number theory
This thesis is is made of three parts. The first part describes a generalization of the Chabauty's method, that can be used to determine the rational points of a curve such that s+g>r+1, where g is the genusof the curve, r is the rank of the Mordell-Weil group of the jacobian of the curve and s is…
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Casting light on the ƞ Carinae puzzle
Promotor: Prof.dr. V. Icke, Co-Promotor: T.I. Madura
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg