Add k-fold cross-validation support integrated into the GEPA optimization loop to provide robust evaluation during training, not just at the end. This ensures the optimizer selects candidates based on ...

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...

I trained nnU-Net v2 (2D configuration) on a dataset of cerebral DSA images for automatic segmentation of non-perfused brain tissue. I performed a 5-fold cross-validation using the default nnU-Net ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

In a giant feat of genetic engineering, scientists have created bacteria that make proteins in a radically different way than all natural species do. By Carl Zimmer At the heart of all life is a code.

1 Department of Computing Science, Faculty of Science, University of Alberta, Edmonton, AB, Canada 2 Computer Science Department, Faculty of Geology, University of Oviedo, Oviedo, Spain The ...

In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions. We start by defining the ...

It looks like the “learn to code” push is backfiring spectacularly for those who bought in. While folks who majored in fields like anthropology and physics fared even worse, with unemployment rates of ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...