Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mark Wernsdorfer"'
Publikováno v:
Soil Systems, Vol 8, Iss 2, p 47 (2024)
For large infrastructure projects, such as high-voltage underground cables or for evaluating the very shallow geothermal potential (vSGP) of small-scale horizontal geothermal systems, large-scale geothermal collector systems (LSCs), and fifth generat
Externí odkaz:
https://doaj.org/article/0230d643fb664f8d800e648d83b71142
Autor:
Maria Beatriz Walter Costa, Mark Wernsdorfer, Alexander Kehrer, Markus Voigt, Carina Cundius, Martin Federbusch, Felix Eckelt, Johannes Remmler, Maria Schmidt, Sarah Pehnke, Christiane Gärtner, Markus Wehner, Berend Isermann, Heike Richter, Jörg Telle, Thorsten Kaiser
BACKGROUND Laboratory results are of central importance for clinical decision making. The time span between availability and review of results by clinicians is crucial to patient care. Clinical decision support systems (CDSS) are computational tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::318fc9db0b6e1c37d0142fe799554eb6
https://doi.org/10.2196/preprints.20407
https://doi.org/10.2196/preprints.20407
Autor:
Maria Beatriz, Walter Costa, Mark, Wernsdorfer, Alexander, Kehrer, Markus, Voigt, Carina, Cundius, Martin, Federbusch, Felix, Eckelt, Johannes, Remmler, Maria, Schmidt, Sarah, Pehnke, Christiane, Gärtner, Markus, Wehner, Berend, Isermann, Heike, Richter, Jörg, Telle, Thorsten, Kaiser
Publikováno v:
JMIR Medical Informatics
Background Laboratory results are of central importance for clinical decision making. The time span between availability and review of results by clinicians is crucial to patient care. Clinical decision support systems (CDSS) are computational tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::dd07c5ff10363ca322c69897be490ab2
https://pubmed.ncbi.nlm.nih.gov/34081013
https://pubmed.ncbi.nlm.nih.gov/34081013
Autor:
Mark Wernsdorfer
Publikováno v:
Artificial General Intelligence ISBN: 9783319976754
AGI
AGI
Real-world agents need to learn how to react to their environment. To achieve this, it is crucial that they have a model of this environment that is adapted during interaction and although important aspects may be hidden. This paper presents a new ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e517f065f0a5646c930a508d7b93ce4
https://doi.org/10.1007/978-3-319-97676-1_26
https://doi.org/10.1007/978-3-319-97676-1_26
Autor:
Mark Wernsdorfer
Publikováno v:
Artificial General Intelligence ISBN: 9783319976754
AGI
AGI
Language comprehension is usually not understood as a time-critical task. Humans, however, process language on-line, in linear time, and with a single pass over a particular instance of speech or text. This calls for a genuinely cognitive algorithmic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bda65057beaff8da8cdddae4ee6a813e
https://doi.org/10.1007/978-3-319-97676-1_27
https://doi.org/10.1007/978-3-319-97676-1_27
Autor:
Mark Wernsdorfer
Publikováno v:
Artificial General Intelligence ISBN: 9783319976754
AGI
AGI
Robotic systems that interact with real-world environments cannot capture all the underlying patterns that govern the environment’s reactions to the system’s actions. One way to deal with this uncertainty is to describe the environment probabilis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69a9ab6a4e126c6a4ec7bc64ff8db929
https://doi.org/10.1007/978-3-319-97676-1_28
https://doi.org/10.1007/978-3-319-97676-1_28
Autor:
Ute Schmid, Mark Wernsdorfer
Publikováno v:
Human Behavior Recognition Technologies
The benefit to be gained by Ambient Assisted Living (AAL) systems depends heavily on the successful recognition of human intentions. Important indicators for specific intentions are behavior and situational context. Once a sequence of actions can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8d75f060b2cb58502770af1f90f10a5
https://doi.org/10.4018/978-1-4666-3682-8.ch013
https://doi.org/10.4018/978-1-4666-3682-8.ch013
Publikováno v:
Artificial General Intelligence ISBN: 9783642228865
AGI
Otto-Friedrich-Universität Bamberg
AGI
Otto-Friedrich-Universität Bamberg
In this paper we argue that a philosophically and psychologically grounded autonomous agent is able to learn recursive rules from basic sensorimotor input. A sensorimotor graph of the agent's environment is generated that stores and optimises benefic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::818233eb9db354e5de1a1af0a5f42b36
https://doi.org/10.1007/978-3-642-22887-2_39
https://doi.org/10.1007/978-3-642-22887-2_39