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Leiden University is an internationally oriented university with a wide range of talentoriented education for good and motivated students, inspired by scientific research.

A Modular Hybridization of Particle Swarm Optimization and Differential Evolution

In swarm intelligence, Particle Swarm Optimization (PSO) and Differentia...
06/21/2020 ∙ by Rick Boks, et al. ∙ 11 ∙ share

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Hyper-Parameter Sweep on AlphaZero General

Since AlphaGo and AlphaGo Zero have achieved breakground successes in th...
03/19/2019 ∙ by Hui Wang, et al. ∙ 6 ∙ share

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Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability

We investigate a family of (μ+λ) Genetic Algorithms (GAs) which creates ...
06/10/2020 ∙ by Furong Ye, et al. ∙ 3 ∙ share

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On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks

Crew pairing optimization (CPO) is critically important for any airline,...
03/15/2020 ∙ by Divyam Aggarwal, et al. ∙ 2 ∙ share

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Assessing the Potential of Classical Q-learning in General Game Playing

After the recent groundbreaking results of AlphaGo and AlphaZero, we hav...
10/14/2018 ∙ by Hui Wang, et al. ∙ 1 ∙ share

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Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

The landmark achievements of AlphaGo Zero have created great research in...
03/12/2020 ∙ by Hui Wang, et al. ∙ 1 ∙ share

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Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning

Recent work on quantum machine learning has demonstrated that quantum co...
10/30/2017 ∙ by Vedran Dunjko, et al. ∙ 0 ∙ share

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Evolving the Structure of Evolution Strategies

Various variants of the well known Covariance Matrix Adaptation Evolutio...
10/17/2016 ∙ by Sander van Rijn, et al. ∙ 0 ∙ share

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An Ontology of Preference-Based Multiobjective Metaheuristics

User preference integration is of great importance in multi-objective op...
09/26/2016 ∙ by Longmei Li, et al. ∙ 0 ∙ share

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Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control

Constrained optimization of high-dimensional numerical problems plays an...
12/31/2015 ∙ by Samineh Bagheri, et al. ∙ 0 ∙ share

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A multi-method simulation of a high-frequency bus line using AnyLogic

In this work a mixed agent-based and discrete event simulation model is ...
04/19/2017 ∙ by Thierry van der Spek, et al. ∙ 0 ∙ share

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Learning what matters - Sampling interesting patterns

In the field of exploratory data mining, local structure in data can be ...
02/07/2017 ∙ by Vladimir Dzyuba, et al. ∙ 0 ∙ share

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Cluster-based Kriging Approximation Algorithms for Complexity Reduction

Kriging or Gaussian Process Regression is applied in many fields as a no...
02/04/2017 ∙ by Bas van Stein, et al. ∙ 0 ∙ share

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Local Subspace-Based Outlier Detection using Global Neighbourhoods

Outlier detection in high-dimensional data is a challenging yet importan...
11/01/2016 ∙ by Bas van Stein, et al. ∙ 0 ∙ share

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Flexible constrained sampling with guarantees for pattern mining

Pattern sampling has been proposed as a potential solution to the infamo...
10/28/2016 ∙ by Vladimir Dzyuba, et al. ∙ 0 ∙ share

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Multiple Context-Free Tree Grammars: Lexicalization and Characterization

Multiple (simple) context-free tree grammars are investigated, where "si...
07/11/2017 ∙ by Joost Engelfriet, et al. ∙ 0 ∙ share

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Continuous-discrete smoothing of diffusions

Suppose X is a multivariate diffusion process that is observed discretel...
12/11/2017 ∙ by Frank van der Meulen, et al. ∙ 0 ∙ share

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The Module Isomorphism Problem for Finite Rings and Related Results

Let R be a finite ring and let M, N be two finite left R-modules. We pre...
12/28/2015 ∙ by Iuliana Ciocănea-Teodorescu, et al. ∙ 0 ∙ share

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BEANS - a software package for distributed Big Data analysis

BEANS software is a web based, easy to install and maintain, new tool to...
03/23/2016 ∙ by Arkadiusz Hypki, et al. ∙ 0 ∙ share

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Sapporo2: A versatile direct N-body library

Astrophysical direct N-body methods have been one of the first productio...
10/14/2015 ∙ by Jeroen Bédorf, et al. ∙ 0 ∙ share

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On residual and guided proposals for diffusion bridge simulation

Recently Whitaker et al. (2017) considered Bayesian estimation of diffus...
08/16/2017 ∙ by Frank van der Meulen, et al. ∙ 0 ∙ share

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ScienceWISE: Topic Modeling over Scientific Literature Networks

We provide an up-to-date view on the knowledge management system Science...
12/22/2016 ∙ by Andrea Martini, et al. ∙ 0 ∙ share

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Benchmarking Crimes: An Emerging Threat in Systems Security

Properly benchmarking a system is a difficult and intricate task. Unfort...
01/08/2018 ∙ by Erik van der Kouwe, et al. ∙ 0 ∙ share

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Nonparametric Bayesian volatility estimation

Given discrete time observations over a fixed time interval, we study a ...
01/30/2018 ∙ by Shota Gugushvili, et al. ∙ 0 ∙ share

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Smart energy management as a means towards improved energy efficiency

The costs associated with refrigerator equipment often represent more th...
02/08/2018 ∙ by Dylan te Lindert, et al. ∙ 0 ∙ share

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Asymptotic nonequivalence of density estimation and Gaussian white noise for small densities

It is well-known that density estimation on the unit interval is asympto...
02/09/2018 ∙ by Kolyan Ray, et al. ∙ 0 ∙ share

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Examining the Tip of the Iceberg: A Data Set for Idiom Translation

Neural Machine Translation (NMT) has been widely used in recent years wi...
02/13/2018 ∙ by Marzieh Fadaee, et al. ∙ 0 ∙ share

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Bayesian inverse problems with partial observations

We study a nonparametric Bayesian approach to linear inverse problems un...
02/25/2018 ∙ by Shota Gugushvili, et al. ∙ 0 ∙ share

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The Importance of Being Recurrent for Modeling Hierarchical Structure

Recent work has shown that recurrent neural networks (RNNs) can implicit...
03/09/2018 ∙ by Ke Tran, et al. ∙ 0 ∙ share

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Adaptive distributed methods under communication constraints

We study distributed estimation methods under communication constraints ...
04/03/2018 ∙ by Botond Szabo, et al. ∙ 0 ∙ share

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A comparison of deep networks with ReLU activation function and linear spline-type methods

Deep neural networks (DNNs) generate much richer function spaces than sh...
04/06/2018 ∙ by Konstantin Eckle, et al. ∙ 0 ∙ share

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Fast and scalable non-parametric Bayesian inference for Poisson point processes

We study the problem of non-parametric Bayesian estimation of the intens...
04/10/2018 ∙ by Shota Gugushvili, et al. ∙ 0 ∙ share

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Building robust prediction models for defective sensor data using Artificial Neural Networks

Predicting the health of components in complex dynamic systems such as a...
04/16/2018 ∙ by Arvind Kumar Shekar, et al. ∙ 0 ∙ share

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Author-topic profiles for academic search

We implemented and evaluated a two-stage retrieval method for personaliz...
04/30/2018 ∙ by Suzan Verberne, et al. ∙ 0 ∙ share

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Nonparametric Bayesian inference for Lévy subordinators

Given discrete time observations over a growing time interval, we consid...
04/30/2018 ∙ by Denis Belomestny, et al. ∙ 0 ∙ share

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Nonparametric Bayesian volatility learning under microstructure noise

Aiming at financial applications, we study the problem of learning the v...
05/15/2018 ∙ by Shota Gugushvili, et al. ∙ 0 ∙ share

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Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams

A number of problems in relational Artificial Intelligence can be viewed...
07/03/2018 ∙ by Anna L. D. Latour, et al. ∙ 0 ∙ share

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Computing Minimum Weight Cycles to Leverage Mispricings in Cryptocurrency Market Networks

Cryptocurrencies such as Bitcoin and Ethereum have recently gained a lot...
07/16/2018 ∙ by Francesco Bortolussi, et al. ∙ 0 ∙ share

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Computational speedups using small quantum devices

Suppose we have a small quantum computer with only M qubits. Can such a ...
07/24/2018 ∙ by Vedran Dunjko, et al. ∙ 0 ∙ share

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Semiparametric Bayesian causal inference using Gaussian process priors

We develop a semiparametric Bayesian approach for estimating the mean re...
08/13/2018 ∙ by Kolyan Ray, et al. ∙ 0 ∙ share

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Spike and slab empirical Bayes sparse credible sets

In the sparse normal means model, coverage of adaptive Bayesian posterio...
08/23/2018 ∙ by Ismaël Castillo, et al. ∙ 0 ∙ share

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Computational astrophysics for the future: An open, modular approach with agreed standards would facilitate astrophysical discovery

Scientific discovery is mediated by ideas that, after being formulated i...
09/07/2018 ∙ by Simon Portegies Zwart, et al. ∙ 0 ∙ share

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Non-Technical Individual Skills are Weakly Connected to the Maturity of Agile Practices

Context: Existing knowledge in agile software development suggests that ...
09/07/2018 ∙ by Lucas Gren, et al. ∙ 0 ∙ share

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Posterior consistency for n in the binomial (n,p) problem with both parameters unknown - with applications to quantitative nanoscopy

The estimation of the population size n from k i.i.d. binomial observati...
09/07/2018 ∙ by Laura Fee Schneider, et al. ∙ 0 ∙ share

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Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery

Given data from a Poisson point process with intensity (x,y) n 1(f(x)≤ ...
09/11/2018 ∙ by Markus Reiß, et al. ∙ 0 ∙ share

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Simulation of elliptic and hypo-elliptic conditional diffusions

Suppose X is a multidimensional diffusion process. Assume that at time z...
10/03/2018 ∙ by Joris Bierkens, et al. ∙ 0 ∙ share

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Bayesian wavelet de-noising with the caravan prior

According to both domain expertise knowledge and empirical evidence, wav...
10/17/2018 ∙ by Shota Gugushvili, et al. ∙ 0 ∙ share

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The reach of commercially motivated junk news on Facebook

Commercially motivated junk news - i.e. money-driven, highly shareable c...
01/22/2019 ∙ by Peter Burger, et al. ∙ 0 ∙ share

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Bringing Fault-Tolerant GigaHertz-Computing to Space: A Multi-Stage Software-Side Fault-Tolerance Approach for Miniaturized Spacecraft

Modern embedded technology is a driving factor in satellite miniaturizat...
08/23/2017 ∙ by Christian M. Fuchs, et al. ∙ 0 ∙ share

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Preference rules for label ranking: Mining patterns in multi-target relations

In this paper we investigate two variants of association rules for prefe...
03/20/2019 ∙ by Cláudio Rebelo de Sá, et al. ∙ 0 ∙ share

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