Results 41 to 50 of about 232,747 (248)

Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future

, 2015
Regularization and Bayesian methods for system identification have been repopularized in the recent years, and proved to be competitive w.r.t. classical parametric approaches.
Chiuso, A.
core   +1 more source

Global parameter identification of stochastic reaction networks from single trajectories [PDF]

, 2011
We consider the problem of inferring the unknown parameters of a stochastic biochemical network model from a single measured time-course of the concentration of some of the involved species.
A Auger, AL Barabási, B Munsky, C Andrieu, CL Müller, DT Gillespie, DT Gillespie, E Cinquemani, ET Jaynes, G Kjellström, G Kjellström, G Kjellström, G Stock, H Kitano, H Kitano, H Koeppl, H Qian, JA Helmuth, JK Pritchard, JR Lakowicz, K Koutroumpas, L Ljung, M Hafner, O Mason, O Wolkenhauer, P Marjoram, R Albert, R Grima, R Ramaswamy, R Ramaswamy, R Ramaswamy, R Ramaswamy, R Ramaswamy, RJ Boys, S Reinker, SH Strogatz, SK Poovathingal, T Toni, TG Kurtz   +38 more
core   +1 more source

Toward Stable Multivalent Metal Batteries: Understanding the Interfacial Chemistry for Magnesium and Calcium Metal Anodes

Advanced Functional Materials, EarlyView.
Interphase chemistry governs the stability of multivalent metal batteries. We summarize state‐of‐the‐art developments in calcium and magnesium metal batteries by focusing on the correlation among electrolytes, interphase layers, and the electrochemical performance of corresponding metal anodes.
Huijun Lin, Qi Meng, Juncai Long, Chuheng Cao, Zheng‐Long Xu   +4 more
wiley   +1 more source

A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming

, 2020
This work presents the concept of kernel mean embedding and kernel probabilistic programming in the context of stochastic systems. We propose formulations to represent, compare, and propagate uncertainties for fairly general stochastic dynamics in a ...
Diehl, Moritz, Muandet, Krikamol, Schölkopf, Bernhard, Zhu, Jia-Jie   +3 more
core   +1 more source

Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics

Advanced Functional Materials, EarlyView.
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann, Vincent Glauser, Ullrich Steiner, Matthias Saba   +3 more
wiley   +1 more source

Stochastic dynamic modeling of short gene expression time-series data [PDF]

, 2008
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Ho, DWC, Liu, X, Swift, S, Tucker, A, Wang, Z, Yang, F   +5 more
core   +1 more source

On time-reversibility of linear stochastic models

, 2013
Reversal of the time direction in stochastic systems driven by white noise has been central throughout the development of stochastic realization theory, filtering and smoothing.
Georgiou, Tryphon T., Lindquist, Anders
core   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

Exo-Daisy World: Revisiting Gaia Theory through an Informational Architecture Perspective

The Planetary Science Journal
The Daisy World model has long served as a foundational framework for understanding the self-regulation of planetary biospheres, providing insights into the feedback mechanisms that may govern inhabited exoplanets.
Damian R Sowinski, Gourab Ghoshal, Adam Frank   +2 more
doaj   +1 more source

An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series [PDF]

, 2009
Copyright [2009] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Liang, Y, Liu, X, Liu, Y, Vinciotti, V, Wang, Z   +4 more
core   +1 more source