Results 81 to 90 of about 3,555,113 (245)

Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems

Journal of Applied Mathematics, 2012
This paper studies least-squares parameter estimation algorithms for input nonlinear systems, including the input nonlinear controlled autoregressive (IN-CAR) model and the input nonlinear controlled autoregressive autoregressive moving average (IN ...
Weili Xiong, Wei Fan, Rui Ding
doaj   +1 more source

Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring

Annals of Clinical and Translational Neurology, EarlyView.
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti, Anemoon T. Bosch, Job van der Palen, Franciscus S. Leijten, Johannes P. van Dijk, Richard H. C. Lazeron, Roland D. Thijs   +6 more
wiley   +1 more source

Global Search Strategies for Solving Multilinear Least-Squares Problems

Sultan Qaboos University Journal for Science, 2012
The multilinear least-squares (MLLS) problem is an extension of the linear least-squares problem. The difference is that a multilinear operator is used in place of a matrix-vector product.
Mats Andersson, Oleg Burdakov, Hans Knutsson, Spartak Zikrin   +3 more
doaj   +1 more source

Least-squares methods for identifying biochemical regulatory networks from noisy measurements [PDF]

, 2007
<b>Background</b>: We consider the problem of identifying the dynamic interactions in biochemical networks from noisy experimental data.
Postlethwaite, I., Kwang-Hyun Cho, Kim, Jongrae, Heslop-Harrison, P., Heslop-Harrison, Pat, Postlethwaite, I, Bates, D.G., Cho, Kwang-Hyun, Postlethwaite, Ian, Declan G Bates, Bates, DG, Kim, J, Kim, J., Ian Postlethwaite, Cho, K-H., Jongrae Kim, Pat Heslop-Harrison, Bates, Declan, Heslop-Harrison, P, Postlethwaite Ian, Cho Kwang-Hyun, Bates Declan G, Kim Jongrae, Heslop-Harrison Pat   +23 more
core   +1 more source

Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez, Fareshte Erani, Katherine J. Bangen, David G. Coughlin, Douglas Galasko, Kelsey R. Thomas   +5 more
wiley   +1 more source

Consistent least squares fitting of ellipsoids

, 2004
A parameter estimation problem for ellipsoid fitting in the presence of measurement errors is considered. The ordinary least squares estimator is inconsistent, and due to the nonlinearity of the model, the orthogonal regression estimator is inconsistent ...
Van Huffel, S., Kukush, A., Markovsky, I.   +2 more
core   +1 more source

Learning Representation of Turbulent Vector Fields via Efficient Moving Least Squares Based on Monte Carlo Method

IEEE Access
In this study, we develop a numerical method to represent turbulent flow in various 2D vector fields using the Monte Carlo method-based MLS (Moving Least Squares) from a density field and express it as a learning representation through a neural network ...
Jong-Hyun Kim, Jung Lee
doaj   +1 more source

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong, Yuping Xiao, Yuhan Wu, Ziyuan Huang, Weishan Liang, Li Xiao, Yaqing Shu, Tingting Lu, Yanyu Chang, Wei Qiu, Yuge Wang   +10 more
wiley   +1 more source

Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea, Patrick Ellsworth, James E. Siegler, James R. Brorson, Christina M. Lineback, Frank G. Conyers, Deborah Kerrigan, Kelsey Eklund, Shadi Yaghi, Farid Khasiyev, Emiliya Melkumova, Collin J. Culbertson, Marissa D'Souza, Dinesh V. Jillella, Patrick Glover, Hassan Aboul‐Nour, Fadi Nahab, Mahan Shahrivari, Simona Nedelcu, David S. Liebeskind, Matthew M. Smith, Aaron Rothstein, Anna Bowman, Alicia Zha, Narendra Kala, Ahmad Abu Qdais, Sami Al Kasab, Mudassir Farooqui, Diana Rojas‐Soto, Yasmin Aziz, Franziska Herpich, Jean‐Philippe Daniel, Sean L. Thompson, Vivek Patel, Thanh N. Nguyen, Siddharth Sehgal, Wenzheng Yu, Wayneho Kam, Russel Van Coevering, Oana M. Dumitrascu, Muhammad Alvi, Balaji Krishnaiah, Setareh Salehi Omran, Guillermo Linares, Eesha Singh, Hamid Ali, Mary Penckofer, Jesse M. Thon, Shani Mannion, Dalia Chahien, Lucia Chen, Fawad Talat, Mehdi Abbasi, Richa Sharma   +53 more
wiley   +1 more source

A robust partial least squares method with applications [PDF]

, 2007
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Romera, Rosario, González, Javier, Peña, Daniel   +2 more
core   +1 more source