Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...

Background: The performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to ...

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...

Instead of defaulting to the notifications on my phone, poetry has inspired me to begin the day in a different way. By Charley Locke Most mornings, as soon as I wake up, I feel the pull of my phone.

The proposed method integrates Discrete Wavelet Transformation (DWT) and Independent Component Analysis (ICA) for noise removal, followed by a robust Kalman filter enhanced with convex optimization to ...

1 School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China 2 Henan Center for Drug Evaluation and Inspection, Zhengzhou, Henan, China This study ...

Abstract: Text classification is one of key problems in pattern recognition. The KNN algorithm is a widely used text classification algorithm, because it is simple, valid and non-parameters. The main ...