Results 131 to 140 of about 30,788 (321)
Large Language Models (LLMs) have come a long way in their ability to solve a wide range of problems. Yet, LLM decision-making still relies primarily on pattern recognition, which may limit its ability to make sound decisions under uncertainty.
Semanti Basu +6 more
doaj +1 more source
Modeling treatment of ischemic heart disease with partially observable Markov decision processes. [PDF]
Hauskrecht M, Fraser H.
europepmc +2 more sources
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
A Markov approach to credit rating migration conditional on economic states
Abstract We develop a model for credit rating migration that accounts for the impact of economic state fluctuations on default probabilities. The joint process for the economic state and the rating is modelled as a time‐homogeneous Markov chain. While the rating process itself possesses the Markov property only under restrictive conditions, methods ...
Michael Kalkbrener, Natalie Packham
wiley +1 more source
Semantics-Aware Active Fault Detection in Status Updating Systems
With its growing number of deployed devices and applications, the Internet of Things (IoT) raises significant challenges for network maintenance procedures.
George Stamatakis +4 more
doaj +1 more source
Bayesian clustering of multivariate extremes
Abstract The asymptotic dependence structure between multivariate extreme values is fully characterized by their projections on the unit simplex. Under mild conditions, the only constraint on the resulting distributions is that their marginal means must be equal, which results in a nonparametric model that can be difficult to use in applications ...
Sonia Alouini, Anthony C. Davison
wiley +1 more source
Fourier Mass Lower Bounds for Batchelor‐Regime Passive Scalars
ABSTRACT Batchelor predicted that a passive scalar ψν$\psi ^\nu$ with diffusivity ν$\nu$, advected by a smooth fluid velocity, should typically have Fourier mass distributed as |ψ̂ν|2(k)≈|k|−d$|\widehat{\psi }^\nu |^2(k) \approx |k|^{-d}$ for |k|≪ν−1/2$|k| \ll \nu ^{-1/2}$.
William Cooperman, Keefer Rowan
wiley +1 more source
Artificial intelligence techniques are increasingly applied in the study of autonomous decision-making in unmanned clustered distributed systems. However, communication constraints has become a big bottleneck that restricts its performance.
Zhang Ting-Ting +7 more
doaj +1 more source
When Dihedral Angles Mask Denticity in Molecular Conductance
This study tests whether higher molecule–electrode denticity increases conductance in single‐molecule junctions. Using nonequilibrium Green's function technique in conjunction with density functional theory simulations and mechanically controlled break‐junction experiments on a tetradentate N‐heterohexacene, it is found that conductance depends mainly ...
Kevin Batzinger +8 more
wiley +1 more source
Straight to Phase III: Model‐informed approach speeds depemokimab clinical development in interleukin‐5‐driven diseases. IL‐5, a key mediator of type 2 inflammation, underlies various diseases, including severe asthma, CRSwNP, EGPA, and HES. Reduction in blood eosinophil count (BEC), a biomarker of IL‐5 activity, is commonly used to evaluate the ...
Chiara Zecchin +6 more
wiley +1 more source

