Submodular optimisation lies at the heart of a broad class of combinatorial decision problems in which the objective exhibits diminishing marginal returns. Formally, a submodular function assigns a ...

Abstract: In this paper, we propose a framework of maximizing quadratic submodular energy with a knapsack constraint approximately, to solve certain computer vision problems. The proposed submodular ...

Journal Editorial Report: The Fed Chief signals rate cuts are coming. As we saw during the Covid pandemic, lab-created experiments can wreak havoc when they escape their confines. Once released, they ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

As a person with a chronic illness, I'm no stranger to bloodwork. I used to pore over my lab results, googling the various meanings, and trying not to panic when a test fell out of range. Function ...

Health tech companies focused on preventive medicine and longevity are gaining interest from investors as well as consumers willing to pay out-of-pocket for personalized health services. Function ...

Your working memory, cognitive flexibility, and self-regulation are core components of executive function (EF), an interrelated set of mental skills that lay the foundation for advanced cognitive ...

This research paper was presented at the 64 th IEEE Symposium on Foundations of Computer Science (FOCS) 2023 (opens in new tab), a premier forum for the latest research in theoretical computer science ...

Abstract: We investigate the problem of maximizing the sum of submodular and supermodular functions under a fairness constraint. This sum function is non-submodular in general. For an offline model, ...

Formulas are powerful tools for performing calculations and analyzing data in Excel. In this beginner’s guide, you’ll learn how to use formulas and explore some popular built-in functions. One of the ...