High-dimensional classification addresses situations in which the number of variables far exceeds the number of observations. Traditional methods often falter in these settings due to overfitting, ...

Abstract: Blind signal classification, a major task of intelligent receivers, has important civilian and military applications. This problem becomes more challenging in multi-antenna scenarios due to ...

Suggested Citation: "5 Proposed Classification of Crime for Statistical Purposes." National Academies of Sciences, Engineering, and Medicine. 2016. Modernizing Crime Statistics: Report 1: Defining and ...

The coral-reef-training AWS S3 bucket provides a single, open, well-structured, growing, community-sourced repository of coral reef image classification training data. Hosted at ...

ABSTRACT: Background: Cause-of-death rankings are often used for planning or evaluating health policy measures. In the European Union, some countries produce cause-of-death statistics by a manual ...

The OECS region, through the Revised Treaty of Basseterre, established an economic union, the Eastern Caribbean Economic Union (ECEU), that incorporates a monetary union, the Eastern Caribbean ...

Province or territory of intended destination of immigrant Immigration and ethnocultural diversity Variable Pre-admission experience of immigrant Immigration and ethnocultural diversity Variable ...

Abstract: Text classification is the task of assigning predefined categories to text documents. It is a common machine learning problem. Statistical text classification that makes use of machine ...

The distinction between western and non-western has been used by CBS as the basis for classification since the 1990s. Initially used in the preparation of the population forecast, it went on to become ...