IEEE

Hyperparameter Tuning of LSTM Load Forecasting Model Based on Segmented Bayesian Optimization

Abstract: As a key link in power system operation and planning, the prediction accuracy of power load forecasting is directly related to the economy, security and power supply reliability of power ...
Cochrane

Bayesian Meta-Analysis: making it accessible for everyone!

This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers. The session ...
Frontiers

Drug shortage in South Korea: machine learning-based prediction models and analysis of duration and causal factors

1 College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea 2 College of Pharmacy, Sookmyung Women’s University, Seoul, Republic of Korea Background: Drug shortages remain a critical ...
IEEE

Enhancing Privacy-Preserved Iris Recognition in Consumer Electronics: A Soft Actor-Critic and GAN-Based Digital Forensic Framework With Bayesian Hyperparameter Optimization

Abstract: The widespread deployment of iris recognition (IR) systems in consumer electronics has raised pressing concerns related to digital forensics, biometric integrity, and user privacy. This ...
Wired

Forget SEO. Welcome to the World of Generative Engine Optimization

This holiday season, more shoppers are expected to use chatbots to figure out what to buy. ‘Tis the season for GEO. As people start relying on chatbots to discover new products, retailers are having ...
GitHub

An AutoML framework for classical machine learning algorithms, automating model selection and hyperparameter tuning through Bayesian optimization, portfolio-based meta-learning ...

Start a Ray head node Connect and start Ray worker nodes via SSH Activate virtual environments and configure PYTHONPATH on all nodes 📌 Before running the script, ensure passwordless SSH access from ...
GitHub

hyperparameter-tuning

Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification. Platform + GUI for hyperparameter ...