Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured ...

Abstract: This paper presents a mathematical framework for visual learning that integrates two popular statistical learning paradigms in the literature: (I). Descriptive learning, such as Markov ...

This repository contains a flask application, that takes input as the path of the dataset file, and gives a complete probabilistic, visual and descriptive analysis of that dataset. This information ...

Abstract: This research study intends to assist the examination board in evaluating the responses based on the level of question difficulty determined by the board. As an initial step, this study ...