Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

Companies turn to scientific modeling and algorithms to help narrow down college selection, with the goal of dramatically decreasing dropout rate. A new algorithm is using data and predictive ...

It is a significant and challenging task to detect the informative features to carry out explainable analysis and build an interpretable AI system for high dimensional data, especially for those with ...

We propose a procedure associated with the idea of the E-M algorithm for model selection in the presence of missing data. The idea extends the concept of parameters to include both the model and the ...

A team of scientists has developed an algorithm that can accurately pinpoint, in large regions of the human genome, mutations favored by natural selection. The finding provides deeper insight into how ...

This paper reconstructs the history of the introduction and use of iterative algorithms in conservation biology in the 1980s and early 1990s in order to prioritize areas for protection as nature ...

Recruiting qualified applicants and hiring top talent have always been time-consuming endeavors that come with constant worry about making a wrong hire. Added to this, the COVID-19 pandemic ...

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A total of 360 patients with a conventional indication for pacemaker therapy were included in the VIP registry. Out of these, 126 patients had data that fulfilled the evaluation criteria (64 males, 62 ...