We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

This project provides a simple and lightweight way to convert categorical data into one-hot encoded format. It is designed to be easy to use and suitable for machine-learning preprocessing workflows.

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Abstract: High-cardinality categorical variables pose significant challenges in machine learning, particularly in terms of computational efficiency and model interpretability. Traditional one-hot ...

Dwayne Johnson has been known worldwide as "The Rock," one of the greatest wrestlers the sport has ever seen. He also began to switch to a movie star in the early 2000s, and has since taken the world ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

Abstract: In this article, we utilize the concept of average controllability in graphs, along with a novel rank encoding method, to enhance the performance of Graph Neural Networks (GNNs) in social ...

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ABSTRACT: Introduction: Breast Cancer (BC) remains a significant health concern worldwide, and accurate prediction of its recurrence after surgery is vital for patient management and treatment ...