Results 101 to 110 of about 9,940 (191)

On the rate of convergence of the proximal alternating linearized minimization algorithm for convex problems

EURO Journal on Computational Optimization, 2016
We analyze the proximal alternating linearized minimization algorithm (PALM) for solving non-smooth convex minimization problems where the objective function is a sum of a smooth convex function and block separable non-smooth extended real-valued convex ...
Ron Shefi, Marc Teboulle
doaj   +1 more source

Complexity promotes stability in mutualistic networks through weaker mutualistic dependencies: Insights from Generalized Modelling

Journal of Animal Ecology, EarlyView.
We show that complexity, but not nestedness or modularity, increase dynamical stability of mutualistic networks, mainly through a weakening in mutualistic dependencies with complexity. Abstract Mutualistic networks provide essential contributions to long‐term ecosystem functioning and food security, but Anthropocene stressors continue to alter their ...
Timo Metz, Jan Timo Bachmann, Nico Blüthgen, Thilo Gross   +3 more
wiley   +1 more source

WAH‐i: Optimising microphone array geometry for customised localisation accuracy

Methods in Ecology and Evolution, EarlyView.
Abstract Accurate spatial localisation of free‐flying echolocating bats is foundational for resolving fine‐scale flight and echolocation behaviour, prey interception and spatial decision‐making in natural environments. Acoustic localisation using microphone arrays is widely employed for this purpose, yet array geometries in field studies are typically ...
Ravi Umadi
wiley   +1 more source

F3AMD: Fast FiLM‐Conditioned Fourier Autoregressive Motion Diffusion

Computer Graphics Forum, EarlyView.
Abstract Recent advances in generative motion synthesis have enabled realtime autoregressive generation of diverse and realistic character animations conditioned on user inputs, as demonstrated by models such as the Conditional Autoregressive Motion Diffusion Model (CAMDM).
Calvin Z. Qiao, Benjamin MacAdam, Mohammadarsh Khokhar, Pranav Balaji, Jiaqing Hu, KangKang Yin   +5 more
wiley   +1 more source

Invariant sublinear expectations

Stochastic Processes and their Applications
We first give a decomposition for a $T$-invariant sublinear expectation $\mathbb{E}=\sup_{P\inΘ}\mathrm{E}_P$, and show that each component $\mathbb{E}^{(d)}=\sup_{P\inΘ^{(d)}}\mathrm{E}_P$ of the decomposition has a finite period $p_d\in\mathbb{N}$, i.e., \[\mathbb{E}^{(d)}\left[f-f\circ T^{p_d}\right]=0, \quad f\in\mathcal{H}.\] Then we prove that a ...
openaire   +2 more sources

Contribution of sublinear and supralinear dendritic integration to neuronal computations

Frontiers in Cellular Neuroscience, 2015
Nonlinear dendritic integration is thought to increase the computational ability of neurons. Most studies focus on how supralinear summation of excitatory synaptic responses arising from clustered inputs within single dendrites result in the enhancement ...
Alexandra eTran-Van-Minh, Alexandra eTran-Van-Minh, Romain Daniel Cazé, Romain Daniel Cazé, Therese eAbrahamsson, Therese eAbrahamsson, Therese eAbrahamsson, Laurence eCathala, Boris S. Gutkin, Boris S. Gutkin, David A. DiGregorio, David A. DiGregorio   +11 more
doaj   +1 more source

Reinforcement Learning for Jump‐Diffusions, With Financial Applications

Mathematical Finance, EarlyView.
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley   +1 more source

Demonstration that sublinear dendrites enable linearly non-separable computations

Scientific Reports
Theory predicts that nonlinear summation of synaptic potentials within dendrites allows neurons to perform linearly non-separable computations (LNSCs). Using Boolean analysis approaches, we predicted that both supralinear and sublinear synaptic summation
Romain D. Cazé, Alexandra Tran-Van-Minh, Boris S. Gutkin, David A. DiGregorio   +3 more
doaj   +1 more source

‘Tell me what you know’: Written recall as a window into illness script quality

Medical Education, EarlyView.
Abstract Introduction Illness scripts (mental representations of disease knowledge) are central to diagnostic expertise, yet structured methods to examine their quality across medical training are lacking. This exploratory study investigated whether textual indicators derived from free‐recall protocols could reveal aspects of illness script quality in ...
Fernando Salvetti Valente, Ligia Maria Cayres Ribeiro, Andre Santanchè, Hassan Rahhal, Silvia Mamede, Pedro Tadao Hamamoto Filho, Marco Antonio de Carvalho Filho   +6 more
wiley   +1 more source

Spherical integrals of sublinear rank

Probability Theory and Related Fields
We consider the asymptotics of $k$-dimensional spherical integrals when $k = o(N)$. We prove that the $o(N)$-dimensional spherical integrals are approximately the products of $1$-dimensional spherical integrals. Our formulas extend the results for $k$-dimensional spherical integrals proved by Guionnet and Maïda in [29] and Husson and Guionnet in [34 ...
Husson, Jonathan, Ko, Justin
openaire   +3 more sources