In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

As a refresher, syntax describes sentence structure—how words are arranged grammatically and what parts of speech they use.

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

The West Virginia Secondary School Activities Commission (WVSSAC) has once again voted to change how it classifies schools for sports. Obama applauds Harvard for rejecting Trump administration’s ...

Abstract: Recent studies indicate that traditional classification models often emphasize the most distinctive parts of an object, overlooking its overall structure. To address this, the ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

Many academic institutions apply their data classification schemas in service of a range of institutional functions. At UW–Madison, for example, we use data classification in the following ways: With ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiclass data sets and large-scale studies are increasingly common in omics sciences ...

Abstract: The continuous development of Earth observation (EO) technology has significantly increased the availability of multi-sensor remote sensing (RS) data. The fusion of hyperspectral image (HSI) ...

Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods ...