When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

ABSTRACT: We build upon previously proposed empirical equations involving the cosmic microwave background (CMB) temperature and extend the approach to include an empirical formulation for the ...

I use your tool frequently to detect doublets in single-cell RNA-Seq datasets and generally prefer it over other available methods — thank you for developing it! Recently, I worked with a ...

4.48852 (1 A ⋅ m) = q m c (m p m e + 4 3) m p c 2 (7) Then, (m p m e + 4 3) has units of (m 2 s). By redefining the Avogadro number and the Faraday constant, these values can be adjusted back to 9/2 ...

Contrastive image and text models face significant challenges in optimizing retrieval accuracy despite their crucial role in large-scale text-to-image and image-to-text retrieval systems. While these ...

The AIIMS INI CET normalization method works by assigning candidates to different shifts randomly. Each shift’s exam is scored independently, and the highest scorer in each shift is awarded a 100th ...

Abstract: A real-world multiobjective optimization problem (MOP) usually has differently scaled objectives. Objective space normalization has been widely used in multiobjective optimization ...

Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, ...