Dark energy flips its sign, but the Hubble tension refuses to budge

For nearly a century, astronomers have known that the universe is expanding. In the late 1990s, two independent teams, the ...

Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
BMJ Global Health

Clustering of countries based on national essential medicines lists: cross-sectional study

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
The Lancet

What is meant when we say we are clustering multimorbidity?

bCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK cAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, UK dThe Healthcare ...
Microsoft

Scalable Model-Based Clustering with Sequential Monte Carlo

In online clustering problems, there is often a large amount of uncertainty over possible cluster assignments that cannot be resolved until more data are observed. This difficulty is compounded when ...
IEEE

Structured Graph-Based Ensemble Clustering

Abstract: Ensemble clustering can utilize the complementary information among multiple base clusterings, and obtain a clustering model with better performance and more robustness. Despite its great ...
IEEE

Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity

Abstract: Anchor-based clustering methods have attracted increasing attention due to their ability to provide efficient and scalable solutions in clustering tasks, such as subspace, multi-view and ...