New research suggests that low handgrip strength alone is not a reliable predictor of increased prostate cancer risk among ...

Abstract: Explainable artificial intelligence is beneficial in converting opaque machine learning models into transparent ones and outlining how each one makes decisions in the healthcare industry. To ...

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...

Abstract: Metaphor variation for English translations of Five Elements will impair the effect of Traditional Chinese Medicine (TCM) international communication. Few studies focus on contributing ...

1 School of Artificial Intelligence and Information Engineering, Zhejiang University of Science and Technology, Hangzhou, China. 2 School of Sciences, Zhejiang University of Science and Technology, ...

Google Ads quietly rolls out a powerful new AI model that is better able to catch policy violations and malicious activity. Google published a research paper about a new AI model for detecting fraud ...

An example2run.ipynb under the example folder is provided to run below experiments. Navigate to the example folder to run the code below: COMPASS models can function as feature extractors. The ...

Regression explains how changes in one factor influence another with clarity. Each regression type is suited for different data patterns and problems. Regression remains fast, reliable, and widely ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...