Abstract: In this article, we introduce a dynamic generative model, the Bayesian allocation model (BAM), for modeling count data. BAM covers various probabilistic nonnegative tensor factorization (NTF ...

Abstract: This paper elaborates on the ranked nodes method (RNM) that is used for constructing conditional probability tables (CPTs) for Bayesian networks consisting of a class of nodes called ranked ...

Residents across the western United States and the Great Plains face a summer of elevated heat risk after federal forecasters projected above-normal temperatures for the June through August 2026 ...

Detailed price information for Rain Enhancement Technologies Holdco Inc Cl A (RAIN-Q) from The Globe and Mail including charting and trades.

Objectives The purpose of this study was to quantify the impact of morphological characteristics on freestyle swimming performance by event and gender. Design Height, mass, body mass index (BMI) and ...

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...

This project is intended to generate high quality perturbagen signatures from LINCS L1000 assay. We build a pipeline, in parallel with L1000 group, to process raw fluorescent intensity data into ...

Introduction In 2021, globally, cardiometabolic diseases (CMDs) accounted for 35% of the 1.73 billion disability-adjusted life years (DALYs) attributed to non-communicable diseases. The Healthy Life ...

Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...