In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...
Abstract: This paper proposes a novel beam-domain channel estimation (CE) algorithm via sparse Bayesian learning (SBL) using complex t-prior for massive multi-user multiple-input multiple-output (MIMO ...
Most LLMs plateau after one interaction when inferring user preferences, but training them on Bayesian model outputs improves accuracy and adaptation. Implement Bayesian teaching to enhance LLMs' ...
Abstract: Bayesian sampling methods based on Hierarchical models Bayesian analysis methods are commonly used to estimate and infer the parameters of hierarchical models. In this paper, a sampling ...
Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists ...
Benefit of adding Cureety remote patient monitoring (RPM) to usual care during injectable anticancer treatment: The OPTIMACURE multicentric French prospective randomized study. This is an ASCO Meeting ...
1 Department of Statistics, School of Mathematics, University of Leeds, Leeds, United Kingdom 2 Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of ...
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