159 zoekresultaten voor “algorithms” in de Publieke website
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Joint Lectures on Evolutionary Algorithms - November 2023
Lezing
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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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Basis reduction for layered lattices
Promotor: H.W. Lenstra
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Structure and substructure in the stellar halo of the Milky Way
Promotor: K.H. Kuijken
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Links between cohomology and arithmetic
Promotor: S.J. Edixhoven
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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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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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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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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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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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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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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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Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
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Radicals in arithmetic
Promotor: Prof.dr. P. Stevenhagen, Co-promotor: B. de Smit
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Extrasolar Planet Detection Through Spatially Resolved Observations
Promotor: I. Snellen, Co-Promotor: M. Kenworthy
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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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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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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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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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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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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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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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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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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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Nurbolat Kenbayev
Wiskunde en Natuurwetenschappen
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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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Applications of topology to Weyl semimetals and quantum computing
This thesis covers various applications of topology in condensed matter physics and quantum information.
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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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Classical and paramagnetic NMR spectroscopy applied to different protein systems
Promotor: Prof.dr. M. Ubbink
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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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Faint Quasars at Very Low Frequencies
In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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Chaotic dynamics in N-body systems
Promotor: Prof.dr. S.F. Portegies Zwart
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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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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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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Casting light on the ƞ Carinae puzzle
Promotor: Prof.dr. V. Icke, Co-Promotor: T.I. Madura
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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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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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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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The unit residue group
The unit residue group, to which the present thesis is devoted, is defined using the norm-residue symbol, which Hilbert introduced into algebraic number theory in 1897.
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Aria of the Dutch North Sea
Promotores: C. J. ten Cate; M. A. Ainslie. Co-promotor: W. Slabbekoorn
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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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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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Strategies for braiding and ground state preparation in digital quantum hardware
With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.