Results 61 to 70 of about 3,067,533 (204)
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose fusion isomerism learning (FusionIL), a secure and domain‐agnostic framework that ...
Zhihao Hao +5 more
wiley +1 more source
Iterative phase retrieval in macromolecular crystal diffraction using the gradients of intensities
Journal of Applied Crystallography, EarlyView.Incorporating molecular intensity gradients into an iterative projection algorithm enables model‐free electron‐density reconstruction even for low‐solvent macromolecular crystals.Iterative phase retrieval (IPR) offers a model‐independent route to crystallographic structure determination but is fundamentally limited by the sampling of the diffraction ...
Sebastian Bielfeldt +3 more
wiley +1 more source
Multiple-term improvements of Jensen's inequality for (p,h)-convex and (p,h)-log convex functions
Journal of Mathematical InequalitiesSummary: In this paper, we present several new multiple-term improvements of Jensen's inequality for \((p, h)\)-convex and \((p, h)\)-log convex functions. As applications of our results, we present new bounds by employing means and Hölder type inequalities for the symmetric norms for \(\tau\)-measurable operators. We make links between ourfindings and
Huy, Duong Quoc +3 more
openaire +2 more sources
Integrative Zoology, EarlyView.We combined occurrence records across China with multisource environmental variables using ensemble species distribution modeling, optimal‐parameter geographical detector analysis, and dispersal simulations to estimate future habitat accessibility for Lady Amherst's Pheasant (Chrysolophus amherstiae). ABSTRACT Montane forest birds are highly vulnerable
Lingsen Cao +3 more
wiley +1 more source
Regularized reduced rank regression for mixed predictor and response variables
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
wiley +1 more source
New estimation methods for diagnostic classification models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source
Plastic Evolution Characterization for 304 Stainless Steel by CQN_Chen Model under the Proportional Loading. [PDF]
Materials (Basel), 2023 Gao X +6 more
europepmc +1 more source
Mandated Benefits and Monopsony Power: Job‐Protected Parental Leave and the Gender Wage Gap
Bulletin of Economic Research, EarlyView.ABSTRACT Standard theories of mandated benefits predict that policies such as parental leave affect wages mainly through employer costs. This paper shows that job‐protected parental leave can also change firms' wage‐setting power. In a monopsony framework, the labor supply facing a firm depends on the composition of worker separations.
Jose I. Silva
wiley +1 more source
Computing Skinning Weights via Convex Duality
Computer Graphics Forum, EarlyView.We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source