Zobrazeno 1 - 10
of 10 550
pro vyhledávání: '"Schewe"'
Autor:
Vasylenko, Andrij, Antypov, Dmytro, Schewe, Sven, Daniels, Luke M., Claridge, John B., Dyer, Matthew S., Rosseinsky, Matthew J.
Computational modelling of materials using machine learning, ML, and historical data has become integral to materials research. The efficiency of computational modelling is strongly affected by the choice of the numerical representation for describin
Externí odkaz:
http://arxiv.org/abs/2408.02292
Autor:
Schewe, Manfred
Publikováno v:
SCENARIO: Journal for Performative Teaching, Learning, Research, Vol XIV, Iss 1, Pp 109-117 (2020)
Contributors to this new rubric draw attention to terms that are frequently used when we speak or write about our pedagogical practices. The idea is to engage Scenario readers in a discussion of key terminology in the area of performative teaching an
Externí odkaz:
https://doaj.org/article/b2e29f15f80d4d3bac61bbdc7255d819
Publikováno v:
SCENARIO: Journal for Performative Teaching, Learning, Research, Vol XIII, Iss 2, Pp 23-43 (2019)
In terms of size of population Ireland is the smallest of the countries represented in the Performative Pedagogy Glossary project (see population estimates below): Whenever reference to infrastructure is made in our discussions it needs to be borne i
Externí odkaz:
https://doaj.org/article/8cf07637520749a8a5ca1d5bc5febe92
Autor:
Schewe, Manfred
Publikováno v:
SCENARIO: Journal for Performative Teaching, Learning, Research, Vol XIII, Iss 1, Pp 115-118 (2019)
Let’s start with the image on the book cover which is placed between the author’s name and the book title. It immediately grabs our attention, shows how eight adult individuals bodily connect and create a beautiful shape that looks like a flower,
Externí odkaz:
https://doaj.org/article/da3640c01c4646e2bc35a43750755a86
Random projection, a dimensionality reduction technique, has been found useful in recent years for reducing the size of optimization problems. In this paper, we explore the use of sparse sub-gaussian random projections to approximate semidefinite pro
Externí odkaz:
http://arxiv.org/abs/2406.14249
We propose DFAMiner, a passive learning tool for learning minimal separating deterministic finite automata (DFA) from a set of labelled samples. Separating automata are an interesting class of automata that occurs generally in regular model checking
Externí odkaz:
http://arxiv.org/abs/2405.18871
Autor:
Swaminathan, Ranjini, Schewe, Jacob, Walton, Jeremy, Zimmermann, Klaus, Jones, Colin, Betts, Richard A., Burton, Chantelle, Jones, Chris D., Mengel, Matthias, Reyer, Christopher P. O., Turner, Andrew G., Weigel, Katja
Climate risk assessments must account for a wide range of possible futures, so scientists often use simulations made by numerous global climate models to explore potential changes in regional climates and their impacts. Some of the latest-generation
Externí odkaz:
http://arxiv.org/abs/2404.11939
While discounted payoff games and classic games that reduce to them, like parity and mean-payoff games, are symmetric, their solutions are not. We have taken a fresh view on the properties that optimal solutions need to have, and devised a novel way
Externí odkaz:
http://arxiv.org/abs/2404.04124
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 2, p e25893 (2021)
BackgroundContact tracing apps are an essential component of an effective COVID-19 testing strategy to counteract the spread of the pandemic and thereby avoid overburdening the health care system. As the adoption rates in several regions are undesira
Externí odkaz:
https://doaj.org/article/ba6fdb4c9eb84c069d46a13fb8adf288
Publikováno v:
SCENARIO: Journal for Performative Teaching, Learning, Research, Vol XIV, Iss 2, Pp i-v (2020)
Externí odkaz:
https://doaj.org/article/8b6c70d3e93445acac8c99f6e36a7312