Results 61 to 70 of about 919,498 (296)

Dynamical stability and chaos in artificial neural network trajectories along training

Frontiers in Complex Systems
The process of training an artificial neural network involves iteratively adapting its parameters so as to minimize the error of the network’s prediction, when confronted with a learning task.
Kaloyan Danovski, Miguel C. Soriano, Lucas Lacasa   +2 more
doaj   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Low Complexity Regularization of Linear Inverse Problems [PDF]

, 2014
Inverse problems and regularization theory is a central theme in contemporary signal processing, where the goal is to reconstruct an unknown signal from partial indirect, and possibly noisy, measurements of it.
A Girard, A. Barron, A. Beck, A. Beck, A. Chambolle, A. Chambolle, A. Daniilidis, A. Montanari, A.N. Tikhonov, A.N. Tikhonov, A.S. Bandeira, A.S. Lewis, A.S. Lewis, A.S. Lewis, A.S. Lewis, B. Efron, B. Efron, B. Recht, B.A. Turlach, B.C. Vũ, B.D. Rao, B.F. Svaiter, B.K. Natarajan, B.S. Mordukhovich, C. Chaux, C. Deledalle, C. Dossal, C. Dossal, C. Lemaréchal, C. Vonesch, C.-A. Deledalle, C.-A. Deledalle, C.L. Mallows, C.M. Stein, D. Gabay, D. Gabay, D. Gross, D. Needell, D. Ville Van De, D. Ville Van De, D.A. Lorenz, D.A. Spielman, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, E. Grave, E. Hale, E. Harchaoui, E. J. Candès, E. Richard, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, F. Bach, F. Bach, F. Luisier, F. Santosa, G. Chen, G. Davis, G. Obozinski, G. Peyré, G. Steidl, G.B. Passty, G.H. Golub, H. Akaike, H. Jégou, H. Jégou, H. Raguet, H. Zou, H.H. Bauschke, H.H. Bauschke, H.L. Taylor, H.M. Hudson, I. Daubechies, J. Allen, J. Bolte, J. Chen, J. Douglas, J. Eckstein, J. Eckstein, J. Eckstein, J. Mairal, J. Tropp, J. Ye, J.-B. Hiriart-Urruty, J.-C. Pesquet, J.-F. Aujol, J.-J. Fuchs, J.-J. Fuchs, J.-L. Starck, J.-L. Starck, J.A. Tropp, J.C. Dunn, J.E. Vogt, J.F. Claerbout, J.M. Lee, K. Bredies, K. Bredies, K. Bredies, K. Kato, K. Knight, K.-C. Li, L. Birgé, L. Birgé, L. Borup, L. Condat, L.I. Rudin, L.M. Briceño Arias, M Coste, M. Elad, M. Elad, M. Fazel, M. Fortin, M. Frank, M. Golbabaee, M. Grasmair, M. Jaggi, M. Meyer, M. Rudelson, M. Yuan, M.J. Wainwright, M.R. Osborne, M.V. Solodov, N. Parikh, O. Scherzer, P. Hall, P. Hall, P. Tseng, P. Zhao, P. Zhao, P.L. Combettes, P.L. Combettes, P.L. Combettes, P.L. Lions, R. Ciak, R. Giryes, R. Glowinski, R. Gribonval, R. Gribonval, R. Gribonval, R. Gribonval, R. Jenatton, R. Jenatton, R. Refregier, R. Tibshirani, R. Tibshirani, R.J. Tibshirani, R.J. Tibshirani, R.L. Dykstra, R.T. Rockafellar, S. Nam, S. Negahban, S. Ramani, S. Ramani, S. Shalev-Shwartz, S. Vaiter, S. Vaiter, S.F. Cotter, S.G. Lingala, S.G. Mallat, S.G. Mallat, S.G. Mallat, S.J. Wright, S.N. Negahban, S.P. Boyd, S.S. Chen, T. Blu, T. Blumensath, T. Strohmer, T.T. Cai, T.T. Cai, T.T. Cai, V. Chandrasekaran, V. Duval, V. Solo, W.L. Hare, X. Shen, Y. Castro de, Y. Censor, Y. Chen, Y. Lyubarskii, Y. Nesterov, Y. Nesterov, Y.C. Eldar, Y.C. Pati   +197 more
core   +3 more sources

Pharmacokinetics, Pharmacodynamics, and Safety of Subcutaneous Belimumab in Pediatric Patients with Systemic Lupus Erythematosus: A Multicenter, Open‐Label Trial

Arthritis Care &Research, Accepted Article.
Objective This study aimed to characterize the pharmacokinetics, pharmacodynamics, safety, and exploratory efficacy of subcutaneous belimumab in pediatric patients with active systemic lupus erythematosus (SLE) receiving standard therapy. Methods This single‐arm, multicenter, open‐label trial (GSK study 200908; NCT04179032) used three‐weight‐band ...
Hermine I. Brunner, Jordi Antón, Inmaculada Calvo‐Penadés, Richard Dimelow, Gerd Horneff, Sylvia Kamphuis, Rebecca Marino, Andre van Maurik, Kirsten Minden, Masaaki Mori, Josephine Ocran‐Appiah, Christel Wilkinson, Yuichi Yamasaki, Deepak Assudani, for the Pediatric Rheumatology Collaborative Study Group (PRCSG) and Paediatric Rheumatology International Trials Organisation (PRINTO) network investigators   +14 more
wiley   +1 more source

Polynomial Iterative Learning Control (ILC) Tracking Control Design for Uncertain Repetitive Continuous-Time Linear Systems Applied to an Active Suspension of a Car Seat

Mathematics
This paper addresses the issue of polynomial iterative learning tracking control (Poly-ILC) for continuous-time linear systems (LTI) operating repetitively.
Selma Ben Attia, Sultan Alzahrani, Saad Alhuwaimel, Salah Salhi, Houssem Eddine Ouerfelli   +4 more
doaj   +1 more source

Data expansion with Huffman codes [PDF]

, 1995
The following topics were dealt with: Shannon theory; universal lossless source coding; CDMA; turbo codes; broadband networks and protocols; signal processing and coding; coded modulation; information theory and applications; universal lossy source ...
Cheng, Jung-Fu, Dolinar, Sam, Effros, Michelle, McEliece, Robert   +3 more
core  

Learning Sets with Separating Kernels

, 2014
We consider the problem of learning a set from random samples. We show how relevant geometric and topological properties of a set can be studied analytically using concepts from the theory of reproducing kernel Hilbert spaces.
De Vito, Ernesto, Rosasco, Lorenzo, Toigo, Alessandro   +2 more
core   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

A reinforcement learning theory for homeostatic regulation [PDF]

, 2011
Reinforcement learning models address animal’s behavioral adaptation to its changing “external” environment, and are based on the assumption that Pavlovian, habitual and goal-directed responses seek to maximize reward acquisition.
Gutkin, B. S., Keramati, M.
core