Zobrazeno 1 - 10
of 1 380
pro vyhledávání: '"P A, MATTIS"'
Autor:
Schip, Mattis van 't
Many modern consumer devices rely on network connections and cloud services to perform their core functions. This dependency is especially present in Internet of Things (IoT) devices, which combine hardware and software with network connections (e.g.
Externí odkaz:
http://arxiv.org/abs/2410.17296
Probabilistic relational models provide a well-established formalism to combine first-order logic and probabilistic models, thereby allowing to represent relationships between objects in a relational domain. At the same time, the field of artificial
Externí odkaz:
http://arxiv.org/abs/2409.04194
Autor:
Biesterfeld, Leon, Vochezer, Mattis T., Kögel, Marco, Zaluzhnyy, Ivan A., Rosebrock, Marina, Klepzig, Lars F., Leis, Wolfgang, Seitz, Michael, Meyer, Jannik C., Lauth, Jannika
Near-infrared emitting colloidal two-dimensional (2D) PbX (X=S, Se) nanoplatelets have emerged as interesting materials with strong size quantisation in the thickness dimension. They act as model systems for efficient charge carrier multiplication an
Externí odkaz:
http://arxiv.org/abs/2406.09223
When comparing speech sounds across languages, scholars often make use of feature representations of individual sounds in order to determine fine-grained sound similarities. Although binary feature systems for large numbers of speech sounds have been
Externí odkaz:
http://arxiv.org/abs/2405.04271
Climate neutrality paradigms put electricity systems at the core of a clean energy supply. At the same time, indirect electrification, with a potential uptake of hydrogen or derived fuel economy, plays a crucial role in decarbonising the energy suppl
Externí odkaz:
http://arxiv.org/abs/2404.12974
Lifted inference exploits symmetries in probabilistic graphical models by using a representative for indistinguishable objects, thereby speeding up query answering while maintaining exact answers. Even though lifting is a well-established technique f
Externí odkaz:
http://arxiv.org/abs/2403.10184
Autor:
Nieder, Jessica, List, Johann-Mattis
Closely related languages show linguistic similarities that allow speakers of one language to understand speakers of another language without having actively learned it. Mutual intelligibility varies in degree and is typically tested in psycholinguis
Externí odkaz:
http://arxiv.org/abs/2402.02915
In traditional studies on language evolution, scholars often emphasize the importance of sound laws and sound correspondences for phylogenetic inference of language family trees. However, to date, computational approaches have typically not taken thi
Externí odkaz:
http://arxiv.org/abs/2402.02807
Despite the inherently fuzzy nature of reconstructions in historical linguistics, most scholars do not represent their uncertainty when proposing proto-forms. With the increasing success of recently proposed approaches to automating certain aspects o
Externí odkaz:
http://arxiv.org/abs/2310.12727
We present a cross-linguistic study that aims to quantify vowel harmony using data-driven computational modeling. Concretely, we define an information-theoretic measure of harmonicity based on the predictability of vowels in a natural language lexico
Externí odkaz:
http://arxiv.org/abs/2308.04885