Zobrazeno 1 - 10
of 154
pro vyhledávání: '"D.2.12"'
Publikováno v:
Lecture Notes in Computer Science, vol 14077 (2023)
In this paper, we propose an approach for an application of Bayesian optimization using Sequential Monte Carlo (SMC) and concepts from the statistical physics of classical systems. Our method leverages the power of modern machine learning libraries s
Externí odkaz:
http://arxiv.org/abs/2409.03094
Frequently in socio-environmental sciences, models are used as tools to represent, understand, project and predict the behaviour of these complex systems. Along the modelling chain, Good Modelling Practices have been evolving that ensure -- amongst o
Externí odkaz:
http://arxiv.org/abs/2405.21051
Developers rely on the Rust programming language's static safety guarantees to write secure and performant applications. However, Rust is frequently used to interoperate with other languages which allow design patterns that conflict with Rust's alias
Externí odkaz:
http://arxiv.org/abs/2404.11671
Datasets collecting software mentions from scholarly publications can potentially be used for research into the software that has been used in the published research, as well as into the practice of software citation. Recently, new software mention d
Externí odkaz:
http://arxiv.org/abs/2402.14602
This chapter presents the potential of interoperability and standardised data publication for cultural heritage resources, with a focus on community-driven approaches and web standards for usability. The Linked Open Usable Data (LOUD) design principl
Externí odkaz:
http://arxiv.org/abs/2309.16635
Autor:
Gao, Andrew Kean
Vector embeddings have become ubiquitous tools for many language-related tasks. A leading embedding model is OpenAI's text-ada-002 which can embed approximately 6,000 words into a 1,536-dimensional vector. While powerful, text-ada-002 is not open sou
Externí odkaz:
http://arxiv.org/abs/2306.12689
Process Execution Engines are a vital part of Business Process Management (BPM) and Manufacturing Orchestration Management (MOM), as they allow the business or manufacturing logic (expressed in a graphical notation such as BPMN) to be executed. This
Externí odkaz:
http://arxiv.org/abs/2208.12214
Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale
Autor:
Huebl, Axel, Lehe, Remi, Mitchell, Chad E., Qiang, Ji, Ryne, Robert D., Sandberg, Ryan T., Vay, Jean-Luc
Publikováno v:
NAPAC22, 2022
Particle accelerators are among the largest, most complex devices. To meet the challenges of increasing energy, intensity, accuracy, compactness, complexity and efficiency, increasingly sophisticated computational tools are required for their design
Externí odkaz:
http://arxiv.org/abs/2208.02382
Autor:
Grüger, Joscha, Malburg, Lukas, Mangler, Juergen, Bertrand, Yannis, Rinderle-Ma, Stefanie, Bergmann, Ralph, Asensio, Estefanía Serral
Process management and process orchestration/execution are currently hot topics; prevalent trends such as automation and Industry 4.0 require solutions which allow domain-experts to easily model and execute processes in various domains, including man
Externí odkaz:
http://arxiv.org/abs/2206.11392
Autor:
Grossman, Robert L., Boyles, Rebecca R., Davis-Dusenbery, Brandi N., Haddock, Amanda, Heath, Allison P., O'Connor, Brian D., Resnick, Adam C., Taylor, Deanne M., Ahalt, Stan
As the number of cloud platforms supporting scientific research grows, there is an increasing need to support interoperability between two or more cloud platforms, as a growing amount of data is being hosted in cloud-based platforms. A well accepted
Externí odkaz:
http://arxiv.org/abs/2203.05097