Results 41 to 50 of about 55,281 (143)

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Chain of matrices, loop equations and topological recursion

, 2009
Random matrices are used in fields as different as the study of multi-orthogonal polynomials or the enumeration of discrete surfaces. Both of them are based on the study of a matrix integral.
Orantin, Nicolas
core  

Measuring the time‐varying market efficiency in the prewar and wartime Japanese stock market, 1924–1943

Asia‐Pacific Economic History Review, Volume 65, Issue 1, Page 131-159, March 2025.
Abstract This study examines the adaptive market hypothesis in the prewar and wartime Japanese stock market using a new market capitalization‐weighted price index. First, we find that the degree of market efficiency varies over time and with major historical events. This implies that the hypothesis is supported in this market.
Kenichi Hirayama, Akihiko Noda
wiley   +1 more source

“I can do math!”: A self‐regulated learning intervention to enhance math‐related motivational factors and performance in middle school

British Journal of Educational Psychology, EarlyView.
Abstract Introduction Self‐regulated learning (SRL) interventions have been widely recognized for their potential to enhance students' academic achievement; however, their effects on math‐related motivational constructs remain less explored. This study investigated the impact of an SRL intervention on multiple math‐related motivational factors (math ...
Federica Granello, Alessandro Cuder, Eleonora Doz, Sandra Pellizzoni, Maria Chiara Passolunghi   +4 more
wiley   +1 more source

Frisch Elasticity, Directed Technical Change, and Automation: A Unified Framework for Wage Polarization and Skill Premium Dynamics

Bulletin of Economic Research, EarlyView.
ABSTRACT This paper examines how labor‐supply responsiveness, captured by the inverse Frisch elasticity, shapes wage inequality in the presence of directed technical change and automation. We develop a dynamic general equilibrium model with task‐based production, heterogeneous labor, and endogenous R&D.
Óscar Afonso
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

Disentangling mechanisms that mediate soil fungal α and β diversity during forest secondary succession

Ecography, EarlyView.
Understanding the mechanisms controlling community diversity is a central, topic in ecology, particularly in microbial ecology. Although species pools and local assembly processes are believed to play non‐negligible roles in shaping the within‐community (α) and among‐community (β) diversity of microbial communities, their relative importance as ...
Xiao Zhang, Biao Dong, Yongtao Huang, Handan Dai, Zhu Yang, Shenglei Fu, Qiang Li, Yidan Yuan, Yuhua Tan, Huan Li, Shirong Liu   +10 more
wiley   +1 more source

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source