The Rice University solution is termed Peak-Sensitive Elastic-net Logistic Regression, or PSE-LR, a method tailored for ...

Machine learning algorithms have played a significant role in the creation ... (2018) [23] applied machine learning techniques like Linear Regression, Random Forest, Multi-layer Perceptron (MLP), and ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

Scientists are racing against time to try and create revolutionary, sustainable energy sources (such as solid-state batteries ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

Here, we’ll explore how genetic algorithms can be employed to make your data work harder for you. From data preparation to model selection, we’ll look at how GAs can enhance each step of the machine ...

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

Participants will learn how to apply various machine learning algorithms to solve real-world problems. 09:00 - 10:30: Decision Trees and Random Forests 10:45 - 12:15: Support Vector Machines 13:30 - ...