Zobrazeno 1 - 10
of 330
pro vyhledávání: '"Sabina J"'
Autor:
Julian Rode, Marcela Muñoz Escobar, Sabina J. Khan, Elena Borasino, Phillip Kihumuro, Clement A. Okia, Valentina Robiglio, Yves Zinngrebe
Publikováno v:
Earth System Governance, Vol 16, Iss , Pp 100172- (2023)
Native trees are central elements of sustainable agriculture, providing economic futures to rural populations while safeguarding biodiversity and ecosystem services. We present a diagnostic methodology for (i) identifying ‘incentive opportunities
Externí odkaz:
https://doaj.org/article/81a7a54554cb4a928c8a64e9c3f1f13f
Autor:
Bassam Al-Fatly, Sabina J. Giesler, Simon Oxenford, Ningfei Li, Till A. Dembek, Johannes Achtzehn, Patricia Krause, Veerle Visser-Vandewalle, Joachim K. Krauss, Joachim Runge, Vera Tadic, Tobias Bäumer, Alfons Schnitzler, Jan Vesper, Jochen Wirths, Lars Timmermann, Andrea A. Kühn, Anne Koy
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103449- (2023)
Introduction: Deep brain stimulation (DBS) is an established treatment in patients of various ages with pharmaco-resistant neurological disorders. Surgical targeting and postoperative programming of DBS depend on the spatial location of the stimulati
Externí odkaz:
https://doaj.org/article/36caedc18a124845a6c37936a4ae2ddb
Generalization outside the scope of one's training data requires leveraging prior knowledge about the effects that transfer, and the effects that don't, between different data sources. Bayesian transfer learning is a principled paradigm for specifyin
Externí odkaz:
http://arxiv.org/abs/2411.03263
Autor:
Musslick, Sebastian, Bartlett, Laura K., Chandramouli, Suyog H., Dubova, Marina, Gobet, Fernand, Griffiths, Thomas L., Hullman, Jessica, King, Ross D., Kutz, J. Nathan, Lucas, Christopher G., Mahesh, Suhas, Pestilli, Franco, Sloman, Sabina J., Holmes, William R.
Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery,
Externí odkaz:
http://arxiv.org/abs/2409.05890
Humans can learn individual episodes and generalizable rules and also successfully retain both kinds of acquired knowledge over time. In the cognitive science literature, (1) learning individual episodes and rules and (2) learning and remembering are
Externí odkaz:
http://arxiv.org/abs/2407.05884
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246689 (2021)
Previous work has demonstrated that certain speech patterns vary systematically between sociodemographic groups, so that in some cases the way a person speaks is a valid cue to group membership. Our work addresses whether or not participants use thes
Externí odkaz:
https://doaj.org/article/7eb21603b0224d5ebac2cdaaf9ea475f
In many settings, such as scientific inference, optimization, and transfer learning, the learner has a well-defined objective, which can be treated as estimation of a target parameter, and no intrinsic interest in characterizing the entire data-gener
Externí odkaz:
http://arxiv.org/abs/2310.14968
Autor:
Martinelli, Julien, Bharti, Ayush, Tiihonen, Armi, John, S. T., Filstroff, Louis, Sloman, Sabina J., Rinke, Patrick, Kaski, Samuel
Contextual Bayesian Optimization (CBO) efficiently optimizes black-box functions with respect to design variables, while simultaneously integrating contextual information regarding the environment, such as experimental conditions. However, the releva
Externí odkaz:
http://arxiv.org/abs/2305.14120
Publikováno v:
Behavior Research Methods (2024)
Adaptive design optimization (ADO) is a state-of-the-art technique for experimental design (Cavagnaro, Myung, Pitt, & Kujala, 2010). ADO dynamically identifies stimuli that, in expectation, yield the most information about a hypothetical construct of
Externí odkaz:
http://arxiv.org/abs/2303.12683
Autor:
Horn, Samantha, Sloman, Sabina J.
We use a simulation study to compare three methods for adaptive experimentation: Thompson sampling, Tempered Thompson sampling, and Exploration sampling. We gauge the performance of each in terms of social welfare and estimation accuracy, and as a fu
Externí odkaz:
http://arxiv.org/abs/2207.00683