Results 51 to 60 of about 11,653,744 (332)
Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey +4 more
wiley +1 more source
GEOGEBRA DALAM PEMBELAJARAN FUNGSI KUADRAT DAN PENGARUHNYA TERHADAP MOTIVASI DAN HASIL BELAJAR SISWA
Aksioma: Jurnal Program Studi Pendidikan MatematikaTelah banyak penelitian yang mencoba meningkatkan pemahaman peserta didik dengan memanfaatkan media GeoGebra. Namun, masih terbatas penelitian yang mengintegrasikan GeoGebra dalam pembelajaran materi fungsi kuadrat untuk meningkatkan motivasi dan hasil ...
Riska Ermilia +2 more
doaj +1 more source
Joint Estimation Using Quadratic Estimating Function
Journal of Probability and Statistics, 2011 A class of martingale estimating functions is convenient and plays an important role for inference for nonlinear time series models. However, when the information about the first four conditional moments of the observed process becomes available, the ...
Y. Liang, A. Thavaneswaran, B. Abraham
doaj +1 more source
Sex differences in medication discontinuation in axial spondyloarthritis.
Arthritis Care &Research, Accepted Article.Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or Janus kinase inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we ...
Rachael Stovall +9 more
wiley +1 more source
Optimality Conditions for Fuzzy Number Quadratic Programming with Fuzzy Coefficients
Journal of Applied Mathematics, 2014 The purpose of the present paper is to investigate optimality conditions and duality theory in fuzzy number quadratic programming (FNQP) in which the objective function is fuzzy quadratic function with fuzzy number coefficients and the constraint set is ...
Xue-Gang Zhou +2 more
doaj +1 more source
On Some Optimization Problems on Permutations
Кібернетика та комп'ютерні технології, 2022 Numerous studies consider combinatorial optimization problems and their solution methods, since a large number of practical problems are described by means of combinatorial optimization models.
Georgy Donets, Vasyl Biletskyi
doaj +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 +2 more
wiley +1 more source
The Derivation of the Riemann Analytic Continuation Formula from the Euler’s Quadratic Equation
Journal of Nigerian Society of Physical Sciences, 2022 The analysis of the derivation of the Riemann Analytic Continuation Formula from Euler’s Quadratic Equation is presented in this paper. The connections between the roots of Euler’s quadratic equation and the Analytic Continuation Formula of the Riemann ...
Opeyemi O. Enoch +2 more
doaj +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Quadratization of Symmetric Pseudo-Boolean Functions [PDF]
, 2013 A pseudo-Boolean function is a real-valued function $f(x)=f(x_1,x_2,\ldots,x_n)$ of $n$ binary variables; that is, a mapping from $\{0,1\}^n$ to $\mathbb{R}$.
Anthony, Martin +3 more
core +1 more source