Zobrazeno 1 - 10
of 47 883
pro vyhledávání: '"A, Ackermann"'
Plotting the residuals is a recommended procedure to diagnose deviations from linear model assumptions, such as non-linearity, heteroscedasticity, and non-normality. The presence of structure in residual plots can be tested using the lineup protocol
Externí odkaz:
http://arxiv.org/abs/2411.01001
Autor:
Neuberger, Julian, van der Aa, Han, Ackermann, Lars, Buschek, Daniel, Herrmann, Jannic, Jablonski, Stefan
Machine-learning based generation of process models from natural language text process descriptions provides a solution for the time-intensive and expensive process discovery phase. Many organizations have to carry out this phase, before they can uti
Externí odkaz:
http://arxiv.org/abs/2410.01356
This paper empirically investigates how an individual's network influences their purchase and subsequent use of experience goods. Utilising data on the network and game-ownership of over 108 million users from the world's largest video game platform,
Externí odkaz:
http://arxiv.org/abs/2409.14351
Autor:
Paxman, C. J., Matta, A., Catford, W. N., Lotay, G., Assié, M., Clément, E., Lemasson, A., Ramos, D., Orr, N. A., Galtarossa, F., Girard-Alcindor, V., Dudouet, J., Achouri, N. L., Ackermann, D., Barrientos, D., Beaumel, D., Bednarczyk, P., Benzoni, G., Bracco, A., Canete, L., Cederwall, B., Ciemala, M., Delahaye, P., Doherty, D. T., Domingo-Pardo, C., Fernández-Domínguez, B., Fernández, D., Flavigny, F., Fougères, C., de France, G., Franchoo, S., Gadea, A., Gibelin, J., González, V., Gottardo, A., Goyal, N., Hammache, F., Harkness-Brennan, L. J., Harrouz, D. S., Jacquot, B., Judson, D. S., Jungclaus, A., Kaşkaş, A., Korten, W., Labiche, M., Lalanne, L., Lenain, C., Leoni, S., Ljungvall, J., Lois-Fuentes, J., Lokotko, T., Lopez-Martens, A., Maj, A., Marqués, F. M., Martel, I., Menegazzo, R., Mengoni, D., Million, B., Nyberg, J., Pérez-Vidal, R. M., Plagnol, L., Podolyák, Zs., Pullia, A., Quintana, B., Regueira-Castro, D., Reiter, P., Rejmund, M., Rezynkina, K., Sanchis, E., Şenyiğit, M., de Séréville, N., Siciliano, M., Sohler, D., Stezowski, O., Thomas, J. -C., Utepov, A., Valiente-Dobón, J. J., Verney, D., Zielińska, M.
We present the first measurement of the $^{47}$K($d,p\gamma$)$^{48}$K transfer reaction, performed in inverse kinematics using a reaccelerated beam of $^{47}$K. The level scheme of $^{48}$K has been greatly extended with nine new bound excited states
Externí odkaz:
http://arxiv.org/abs/2409.12594
Growing experimental evidence shows that cell monolayers can induce long-lived perturbations to their environment, akin to footprints, which in turn influence the global dynamics of the system. Inspired by these observations, we propose a comprehensi
Externí odkaz:
http://arxiv.org/abs/2409.05195
We study active steering protocols for weakly measured qubits in the presence of error channels due to amplitude and phase noise. If the error rate is sufficiently small, the protocol approaches and stabilizes a predesignated pure target state with h
Externí odkaz:
http://arxiv.org/abs/2408.10960
Predictive process monitoring aims to support the execution of a process during runtime with various predictions about the further evolution of a process instance. In the last years a plethora of deep learning architectures have been established as s
Externí odkaz:
http://arxiv.org/abs/2408.07097
Autor:
Stucki, Simon, Ackermann, Philipp
This work presents a web-based, open-source path tracer for rendering physically-based 3D scenes using WebGPU and the OpenPBR surface shading model. While rasterization has been the dominant real-time rendering technique on the web since WebGL's intr
Externí odkaz:
http://arxiv.org/abs/2407.19977
Over the past decade, extensive research efforts have been dedicated to the extraction of information from textual process descriptions. Despite the remarkable progress witnessed in natural language processing (NLP), information extraction within the
Externí odkaz:
http://arxiv.org/abs/2407.18540
The Realization Independent Iterative Rational Krylov Algorithm (TF-IRKA) is a frequency-based data-driven reduced order modeling (DDROM) method that constructs $\mathcal H_2$ optimal DDROMs. However, as the $\mathcal H_2$ optimal approximation theor
Externí odkaz:
http://arxiv.org/abs/2407.12670