Zobrazeno 1 - 10
of 3 434
pro vyhledávání: '"P, Weisser"'
Autor:
Thielmann, Anton Frederik, Kumar, Manish, Weisser, Christoph, Reuter, Arik, Säfken, Benjamin, Samiee, Soheila
The analysis of tabular data has traditionally been dominated by gradient-boosted decision trees (GBDTs), known for their proficiency with mixed categorical and numerical features. However, recent deep learning innovations are challenging this domina
Externí odkaz:
http://arxiv.org/abs/2408.06291
Autor:
Semnani, Parastoo, Bogojeski, Mihail, Bley, Florian, Zhang, Zizheng, Wu, Qiong, Kneib, Thomas, Herrmann, Jan, Weisser, Christoph, Patcas, Florina, Müller, Klaus-Robert
The successful application of machine learning (ML) in catalyst design relies on high-quality and diverse data to ensure effective generalization to novel compositions, thereby aiding in catalyst discovery. However, due to complex interactions, catal
Externí odkaz:
http://arxiv.org/abs/2407.18935
A line digraph $L(G) = (A, E)$ is the digraph constructed from the digraph $G = (V, A)$ such that there is an arc $(a,b)$ in $L(G)$ if the terminal node of $a$ in $G$ is the initial node of $b$. The maximum number of arcs in a line digraph with $m$ n
Externí odkaz:
http://arxiv.org/abs/2406.05141
We address a specific case of the matroid intersection problem: given a set of graphs sharing the same set of vertices, select a minimum cycle basis for each graph to maximize the size of their intersection. We provide a comprehensive complexity anal
Externí odkaz:
http://arxiv.org/abs/2404.17223
Topic modelling was mostly dominated by Bayesian graphical models during the last decade. With the rise of transformers in Natural Language Processing, however, several successful models that rely on straightforward clustering approaches in transform
Externí odkaz:
http://arxiv.org/abs/2403.03737
Topic modeling seems to be almost synonymous with generating lists of top words to represent topics within large text corpora. However, deducing a topic from such list of individual terms can require substantial expertise and experience, making topic
Externí odkaz:
http://arxiv.org/abs/2403.03628
This paper investigates the combination of parametric channel estimation with minimum mean square error (MMSE) estimation. We propose a direction-of-arrival (DoA)-aided two-stage channel estimation technique that utilizes the decomposition of wireles
Externí odkaz:
http://arxiv.org/abs/2312.06349
We address the problem of configuring a power distribution network with reliability and resilience objectives by satisfying the demands of the consumers and saturating each production source as little as possible. We consider power distribution netwo
Externí odkaz:
http://arxiv.org/abs/2311.11707
In this work, we propose two methods that utilize data symbols in addition to pilot symbols for improved channel estimation quality in a multi-user system, so-called semi-blind channel estimation. To this end, a subspace is estimated based on all rec
Externí odkaz:
http://arxiv.org/abs/2308.16601
Autor:
Juliano Sarmento Cabral, Alma Mendoza‐Ponce, André Pinto daSilva, Johannes Oberpriller, Anne Mimet, Julia Kieslinger, Thomas Berger, Jana Blechschmidt, Maximilian Brönner, Alice Classen, Stefan Fallert, Florian Hartig, Christian Hof, Markus Hoffmann, Thomas Knoke, Andreas Krause, Anne Lewerentz, Perdita Pohle, Uta Raeder, Anja Rammig, Sarah Redlich, Sven Rubanschi, Christian Stetter, Wolfgang Weisser, Daniel Vedder, Peter H. Verburg, Damaris Zurell
Publikováno v:
People and Nature, Vol 6, Iss 5, Pp 1716-1741 (2024)
Abstract Current approaches to project spatial biodiversity responses to climate change mainly focus on the direct effects of climate on species while regarding land use and land cover as constant or prescribed by global land‐use scenarios. However
Externí odkaz:
https://doaj.org/article/35bbfe6f4cc24faebe05717e4906341d