Abstract: Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when ...

Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...

Abstract: Linear discriminant analysis (LDA) is a well-known feature-extraction technique for data analytic and pattern classification. As the dimensionality of multimedia data has increased in this ...

AI is good. The whole spectrum of Artificial Intelligence (AI) from predictive to reactive to prescriptive to generative AI and the Machine Learning (ML) functions that power it are generally regarded ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we demonstrate that Linear Discriminant Analysis (LDA) applied to atomic ...

Autism Spectrum Disorder (ASD) is a developmental condition characterized by social and communication differences. Recent research suggests ASD affects 1-in-44 children in the United States. ASD is ...

For those of us who never went to business school but found our way into entrepreneurship, it takes practical experience to determine which tools best serve us in the real world. After 10 years of ...

Background: Anlotinib is a multi-targeted tyrosine kinase inhibitor mainly targeting angiogenesis signaling. The predictive marker of anlotinib’s efficacy remains elusive. This study was designed to ...