ABSTRACT Abstract— In collaboration with Lumina AI, this research discusses the effectiveness of Random Contrast Learning (Lumina RCL) on a variety of tabular datasets in comparison to more traditional methods of machine learning. It describes how well Lumina RCL...
In the ever-evolving landscape of software development, staying updated with the latest versions is crucial for harnessing new features and improvements. However, with new versions come the challenges of transition, especially when it involves complex software like...
ABSTRACT Abstract—In collaboration with Lumina AI, this paper highlights the effectiveness of the Lumina RCL model in text classification. We evaluate three diverse and challenging datasets, comparing Lumina RCL’s performance against traditional machine learning...
In the rapidly evolving landscape of AI and Machine Learning, it is crucial to choose tools that not only meet technical requirements but also provide seamless user experiences. At Lumina, we offer two robust options: PrismRCL™, our Windows-based application, and our...
Important PrismRCL Update: Model Compatibility and Dual Version Support - Retain your existing models and explore 2.4.x features! Learn more about your options.