Výsledky vyhledávání - "Bohner, Gergő"

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Learning interpretable continuous-time models of latent stochastic dynamical systems

Autor: Duncker, Lea, Bohner, Gergo, Boussard, Julien, Sahani, Maneesh

We develop an approach to learn an interpretable semi-parametric model of a latent continuous-time stochastic dynamical system, assuming noisy high-dimensional outputs sampled at uneven times. The dynamics are described by a nonlinear stochastic diff

Externí odkaz: http://arxiv.org/abs/1902.04420

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Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

Autor: Vollmer, Sebastian, Mateen, Bilal A., Bohner, Gergo, Király, Franz J, Ghani, Rayid, Jonsson, Pall, Cumbers, Sarah, Jonas, Adrian, McAllister, Katherine S. L., Myles, Puja, Granger, David, Birse, Mark, Branson, Richard, Moons, Karel GM, Collins, Gary S, Ioannidis, John P. A., Holmes, Chris, Hemingway, Harry

Machine learning (ML), artificial intelligence (AI) and other modern statistical methods are providing new opportunities to operationalize previously untapped and rapidly growing sources of data for patient benefit. Whilst there is a lot of promising

Externí odkaz: http://arxiv.org/abs/1812.10404

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Empirical fixed point bifurcation analysis

Autor: Bohner, Gergo, Sahani, Maneesh

In a common experimental setting, the behaviour of a noisy dynamical system is monitored in response to manipulations of one or more control parameters. Here, we introduce a structured model to describe parametric changes in qualitative system behavi

Externí odkaz: http://arxiv.org/abs/1807.01486

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