Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
Abstract: A major challenge in machine learning is the accurate categorization of data in the presence of noise, outliers, and imbalanced class distributions. Fuzzy support vector machines and their ...
Problem Formulation: Treats this as a classification task where the model learns to predict categories/classes based on input features. Model Selection: After evaluating multiple algorithms, XGB was ...