Text categorization is a significant tool to manage and organize the surging text data. Many
text categorization algorithms have been explored in previous literatures, such as KNN …

With the recent explosive growth of e-commerce and online communication, a new genre of
text, short text, has been extensively applied in many areas. So many researches focus on …

The traditional KNN text classification algorithm used all training samples for classification,
so it had a huge number of training samples and a high degree of calculation complexity …

Textual databases are useful sources of information and knowledge and if these are well
utilised then issues related to future project management and product or service quality …

Text classification is a technique that automatically classifies and labels text according to
certain rules, and is widely used in sentiment analysis, intelligent recommendation systems …

Traditional machine learning algorithms are not with satisfying generalization ability on
noisy, imbalanced, and small sample training set. In this work, a novel virtual sample …

Environment perception technology is the most important part of driverless technology, and
driverless vehicles need to realize decision planning and control by virtue of perception …

Over the last ten years, we have seen a significant increase in industrial data, tremendous
improvement in computational power, and major theoretical advances in machine learning …

This article addresses the problem of real-time statistical batch process monitoring (BPM) for
processes with limited production history; herein, referred to as the 'Low-N'problem. The Low …

Machine learning‐based software defect prediction (SDP) approaches have been
commonly proposed to help to deliver high‐quality software. Unfortunately, all the previous …