Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...
Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...
How can we be sure that there is sufficient data for our model, such that the predictions remain reliable on unseen data and the conclusions drawn from the fitted model would not vary significantly ...
A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...
Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A crucial issue in the plastic recycling industry is the loss of quality in recycled ...
A variety of statistical tools can detect potential breaches in the integrity of elections. These techniques draw on tools from many fields, including pure mathematics, statistics, and machine ...
Anthropic environment; aquatic environments; cost-effectiveness; freshwater biodiversity; sex ratio; turtle trapping method comparison Mainly in developing countries, such as Brazil, the risk of theft ...
Abstract: Deep learning systems typically suffer from catastrophic forgetting of old knowledge when learning from new data continually. Recently, various class incremental learning (CIL) methods have ...
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