Results 121 to 130 of about 17,602 (258)
ABSTRACT Intellectual disability (ID) equivalence describes conditions in which individuals function cognitively and adaptively at levels comparable to ID without meeting IQ‐based diagnostic criteria. Fetal alcohol spectrum disorder (FASD) is characterised by impaired executive and adaptive functioning despite IQs often above the ID threshold ...
David J. Gilbert +7 more
wiley +1 more source
A Two-Stage STAP Method Based on Fine Doppler Localization and Sparse Bayesian Learning in the Presence of Arbitrary Array Errors. [PDF]
Liu K, Wang T, Wu J, Chen J.
europepmc +1 more source
Required sample size for learning sparse Bayesian networks with many variables [PDF]
Paweł Wocjan +2 more
openalex +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
A Novel Clutter Suppression Method Based on Sparse Bayesian Learning for Airborne Passive Bistatic Radar with Contaminated Reference Signal. [PDF]
Wang J, Wang J, Zhu Y, Zhao D.
europepmc +1 more source
Causal analysis of extreme risk in a network of industry portfolios
Abstract We provide a detailed review of causal dependence within the framework of max‐linear structural models. Such models express each node variable as a max‐linear function of its parental node variables in a directed acyclic graph (DAG) and some exogenous innovation.
Claudia Klüppelberg, Mario Krali
wiley +1 more source
Sparse Bayesian Learning Based Off-Grid Estimation of OTFS Channels with Doppler Squint [PDF]
Xuehan Wang, Xu Shi, Jintao Wang
openalex +1 more source
Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning [PDF]
R. Fuentes +3 more
openalex +1 more source
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang +4 more
wiley +1 more source

