Zobrazeno 1 - 10
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pro vyhledávání: '"Fricke, Kai"'
Reinforcement learning frameworks have introduced abstractions to implement and execute algorithms at scale. They assume standardized simulator interfaces but are not concerned with identifying suitable task representations. We present Wield, a first
Externí odkaz:
http://arxiv.org/abs/1909.06844
Akademický článek
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Reinforcement learning (RL) tasks are challenging to implement, execute and test due to algorithmic instability, hyper-parameter sensitivity, and heterogeneous distributed communication patterns. We argue for the separation of logical component compo
Externí odkaz:
http://arxiv.org/abs/1810.09028
Autor:
Schaarschmidt, Michael, Kuhnle, Alexander, Ellis, Ben, Fricke, Kai, Gessert, Felix, Yoneki, Eiko
Reinforcement learning approaches have long appealed to the data management community due to their ability to learn to control dynamic behavior from raw system performance. Recent successes in combining deep neural networks with reinforcement learnin
Externí odkaz:
http://arxiv.org/abs/1808.07903
Publikováno v:
In Journal of Research in Personality August 2018 75:94-102
Personality and self-reported preference for music genres and attributes in a German-speaking sample
Autor:
Fricke, Kai R., Herzberg, Philipp Y.
Publikováno v:
In Journal of Research in Personality June 2017 68:114-123
Autor:
Hofer, Anna-Sophie, Scheuber, Myriam I, Sartori, Andrea M, Good, Nicolas, Stalder, Stephanie A, Hammer, Nicole, Fricke, Kai, Schalbetter, Sina M, Engmann, Anne K, Weber, Rebecca Zoe, Rust, Ruslan, Schneider, Marc P, Russi, Natalie, Favre, Giacomin, Schwab, Martin E
Publikováno v:
Brain: A Journal of Neurology, 145 (10)
Severe spinal cord injuries result in permanent paraparesis in spite of the frequent sparing of small portions of white matter. Spared fibre tracts are often incapable of maintaining and modulating the activity of lower spinal motor centres. Effects
We aim to examine methods on how to gain insights on anonymous big data samples using distribution matching of smaller subsamples.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30974f3b9197c7c12110039bf50ccacf
Akademický článek
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Autor:
Mowforth, Oliver D, Khan, Danyal Z, Wong, Mei Yin, Pickering, George A E, Dean, Lydia, Magee, Joe, Mullarkey, Laura, Hirayama, Yuri, Rihova, Martina, Butler, Max, Stewart, Max, Goulson, Beth, Ahmed, Shahzaib, Fricke, Kai, Popa-Nimigean, Vladimir, Millar, Zack, Venkatesh, Ashwin, Willison, Alice, Senthil, Keerthi, Hazenbiller, Olesja, Sarewitz, Ellen, Sadler, Iwan, Gronlund, Toto, Tetreault, Lindsay, Harrop, James S, Aarabi, Bizhan, Rahimi-Movaghar, Vafa, Kurpad, Shekar N, Guest, James D, Wilson, Jefferson R, Kwon, Brian K, Fehlings, Michael G, McNair, Angus G K, Davies, Benjamin M, Kotter, Mark R N
Publikováno v:
Mowforth, O D, Khan, D Z, Wong, M Y, Pickering, G A E, Dean, L, Magee, J, Mullarkey, L, Hirayama, Y, Rihova, M, Butler, M, Stewart, M, Goulson, B, Ahmed, S, Fricke, K, Popa-Nimigean, V, Millar, Z, Venkatesh, A, Willison, A, Senthil, K, Hazenbiller, O, Sarewitz, E, Sadler, I, Gronlund, T, Tetreault, L, Harrop, J S, Aarabi, B, Rahimi-Movaghar, V, Kurpad, S N, Guest, J D, Wilson, J R, Kwon, B K, Fehlings, M G, McNair, A G K, Davies, B M & Kotter, M R N 2021, ' Gathering Global Perspectives to Establish the Research Priorities and Minimum Data Sets for Degenerative Cervical Myelopathy : Sampling Strategy of the First Round Consensus Surveys of AO Spine RECODE-DCM ', Global Spine Journal, vol. 12, no. 1, pp. 8S-18S . https://doi.org/10.1177/21925682211047546
Study Design Survey. Introduction AO Spine Research Objectives and Common Data Elements for Degenerative Cervical Myelopathy (AO Spine RECODE-DCM) is an international initiative that aims to accelerate knowledge discovery and improve outcomes by deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::242fac93c0a4360f8c6c197b39bd12c4
https://research-information.bris.ac.uk/ws/files/315831170/21925682211047546.pdf
https://research-information.bris.ac.uk/ws/files/315831170/21925682211047546.pdf