Results 201 to 210 of about 283,896 (317)
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
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 +3 more
wiley +1 more source
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley +1 more source
Abstract Genomic resources, new microsatellite markers and a novel observation of a fractal pattern in the genetic population structure are presented for curimba, Prochilodus lineatus, a freshwater migratory model species of South America. Our main goals were to investigate the presence of mixed fish stocks and the effects of damming‐induced ...
Gabriel M. Yazbeck +5 more
wiley +1 more source
G. Chi, Gongsheng Li, X. Jia
semanticscholar +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Steady-state solutions for Gierer-Meinhardt type systems with Dirichlet boundary condition
M. Ghergu
semanticscholar +1 more source
Abstract Artificial intelligence’s (AI’s) growing influence in business has introduced a pivotal shift in workplace dynamics. However, the understanding of how AI adoption influences employee job satisfaction remains inconclusive. Drawing on job characteristics theory, we argue that with increasing levels of adoption, the relationship between employees’
Colin Schulz +3 more
wiley +1 more source

