Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Abstract: In this paper we propose a new classifier called an incremental learning algorithm based on support vector machine with Mahalanobis distance (ISVMM). Prediction of the incoming data type by ...

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...

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Accurate uncertainty estimations are essential for producing reliable machine learning models, especially in safety-critical applications such as accelerator systems. Gaussian process models are ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Department of Pediatric Surgery of Children’s Medical Center, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China ...

This paper investigated the effect of financial ratio anomalies on the creditworthiness of companies in the production and manufacturing sectors listed on the Istanbul Stock Exchange. Financial ratios ...

It does a better job of using data and forecasts to make decisions. by Narendra Agrawal, Morris A. Cohen, Rohan Deshpande and Vinayak Deshpande The Covid-19 pandemic, the Russia-Ukraine conflict, ...