Results 131 to 140 of about 10,752 (214)

Predicting Learning: Understanding the Role of Executive Functions in Children's Belief Revision Using Bayesian Models

Topics in Cognitive Science, EarlyView.
Abstract Recent studies suggest that learners who are asked to predict the outcome of an event learn more than learners who are asked to evaluate it retrospectively or not at all. One possible explanation for this “prediction boost” is that it helps learners engage metacognitive reasoning skills that may not be spontaneously leveraged, especially for ...
Joseph A. Colantonio, Igor Bascandziev, Maria Theobald, Garvin Brod, Elizabeth Bonawitz   +4 more
wiley   +1 more source

Erratum: Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [Med. Phys. 46(1), p. 81-92 (2019)]. [PDF]

Med Phys, 2020
Ha W, Sidky EY, Foygel Barber R, Gilat Schmidt T, Pan X.   +4 more
europepmc   +1 more source

Surface Consistent Seismic Hazard Assessment in the Shillong Plateau, Northeast India: A Probabilistic Approach Using Multiple Source Models and a Logic Tree Framework

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 11, Page 2855-2879, September 2026.
ABSTRACT We perform probabilistic seismic hazard analysis (PSHA) in the Shillong Plateau by clubbing the up‐to‐date earthquake data and seismotectonic properties of the study area. Twenty‐one areal seismic sources are delineated based on the updated earthquake catalog, tectonic, and fault plane solutions.
Mohd Shahabuddin, William Kumar Mohanty, Eleftheria Papadimitriou   +2 more
wiley   +1 more source

Neurophysiological evidence for goal‐directed attentional control dysfunction in generalized anxiety disorder

Journal of Intelligent Medicine, Volume 3, Issue 3, Page 312-326, September 2026.
Abstract Attentional control theory posits that anxiety disrupts goal‐directed attentional system; however, its neurophysiological mechanisms in generalized anxiety disorder (GAD) remain unclear. This study investigated two core operations of the goal‐directed attentional system in GAD—inhibition and shifting—by characterizing their behavioral and ...
Xinyu Hao, Xiaoya Liu, Danfeng Yuan, Chunyu Liang, Xiangyun Yang, Bo Zhang, Zhanjiang Li, Shuang Liu   +7 more
wiley   +1 more source

Model‐Agnostic Influential Outlier Metric

Stat, Volume 15, Issue 3, September 2026.
ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley   +1 more source

AISyst: AI‐Powered Interactive Visual System to Assist With Fidelity Assessment of Synthetic Tabular Data

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT Evaluating synthetic data produced by generative models remains a critical challenge in sensitive domains such as healthcare and finance. Ensuring that such data is ‘faithful’ to real data is essential for downstream applications and decision‐making, including regulatory compliance. This paper introduces an AI‐powered interactive visual system—
Liqun Liu, Leonid Bogachev, Netochukwu Onyiaji, Lukas Čironis, János Gyarmati‐Szabó, Roy A. Ruddle   +5 more
wiley   +1 more source

An Invariant Measure for Differential Entropy: From Kullback-Leibler Divergence to Scale-Invariant Information Theory. [PDF]

Entropy (Basel)
Truong F, Giuliani A.
europepmc   +1 more source

Bayesian Inference for Multivariate Monotone Densities

Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1206-1229, September 2026.
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley   +1 more source

Physically Consistent Reconstruction of Sparse Scatterometer Ocean Surface Wind Fields Based on Physics‐Guided Generative Learning

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Accurate and timely reconstruction of sea surface wind fields from available scatterometer‐derived observations is essential for rapid‐response forecasting and operational oceanography. In this study, we explore a novel physics‐guided generative learning network to reconstruct sea surface wind vector fields directly from sparse scatterometer ...
Ran Bo, Zengliang Zang, Zeming Zhou, Pinglv Yang, Huadong Du, Xiaofeng Zhao, Qian Li, Yangfan Hu   +7 more
wiley   +1 more source

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia. [PDF]

Eur J Nucl Med Mol Imaging, 2020
Wang M, Jiang J, Yan Z, Alberts I, Ge J, Zhang H, Zuo C, Yu J, Rominger A, Shi K, Alzheimer’s Disease Neuroimaging Initiative.   +10 more
europepmc   +1 more source