Results 191 to 200 of about 16,029 (238)

Artificial Intelligence in Bulk RNA-Seq: Challenges and Potential Solutions. [PDF]

Comput Struct Biotechnol J
Rezapour M, Trefry SV, Opoku LA, Narayanan A.   +3 more
europepmc   +1 more source

Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations. [PDF]

PLoS Comput Biol
Zhang J, Li X, Guo X, You Z, Böttcher L, Mogilner A, Hoffmann A, Chou T, Xia M.   +8 more
europepmc   +1 more source

The KPZ Equation of Kinetic Interface Roughening: A Variational Perspective. [PDF]

Entropy (Basel)
Wio HS, Deza RR, Revelli JA, Gallego R, García-García R, Rodríguez MA.   +5 more
europepmc   +1 more source

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. [PDF]

IEEE Access
Bhattacharjee P, Tian F, Rubin GD, Lo JY, Merchant N, Hanson HA, Gounley J, Tandon R.   +7 more
europepmc   +1 more source

Stochastic approximation with discontinuous dynamics, differential inclusions, and applications

Annals of Applied Probability, 2023
This work develops new results for stochastic approximation algorithms. The emphases are on treating algorithms and limits with discontinuities. The main ingredients include the use of differential inclusions, set-valued analysis, and non-smooth analysis, and stochastic differential inclusions. Under broad conditions, it is shown that a suitably scaled
George Yin
exaly   +3 more sources

The interrelation between stochastic differential inclusions and set-valued stochastic differential equations

Journal of Mathematical Analysis and Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marek T Malinowski, Mariusz Michta
exaly   +3 more sources

On the Solution of Stochastic Differential Inclusion

Journal of Mathematical Analysis and Applications, 1995
Let \((\Omega, \Lambda,p)\) be a probability space, \(I = [0,T]\), \(\{\Lambda_t \}_{t \in I}\) an increasing family of \(\sigma\)- subalgebras such that \(\bigcap_{\alpha > 0} \Lambda _{t + \alpha} = \Lambda_t\), and \(\beta_t\) a \(\sigma\)-algebra of all Borel subsets of \([0,t]\) for fixed \(t \in I\). Let us denote by \(\beta \Lambda\) a \(\sigma\)
exaly   +2 more sources

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Stochastic Invariance for Differential Inclusions

Set-Valued Analysis, 2000
The first objective of this paper is to combine two ways for representing uncertainty through stochastic differential inclusions: a stochastic uncertainty driven by a Wiener process and a contingent uncertainty driven by a set-valued map. The second point consists to extend to stochastic differential inclusions the invariance theorem for nonstochastic ...
Aubin, Jean-Pierre, da Prato, Giuseppe, Frankowska, Hélène   +2 more
openaire   +2 more sources

Stochastic differential inclusions with Hilfer fractional derivative

Annals of the University of Craiova, Mathematics and Computer Science Series, 2022
In this paper, we study the existence of mild solutions of Hilfer fractional stochastic differential inclusions driven by sub fractional Brownian motion in the cases when the multivalued map is convex and non convex. The results are obtained by using fixed point theorem. Finally an example is given to illustrate the obtained results.
Meryem Chaouche, Toufik Guendouzi
openaire   +1 more source