Abstract: Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...
Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...
YouTube video creation has evolved quite a bit since the platform launched over 20 years ago. Over the years, YouTube has become one of the most important social platforms on the planet, with millions ...
Abstract: Automatic performance tuning (auto-tuning) is widely used to optimize performance-critical applications across many scientific domains by finding the best program variant among many choices.
AI-powered search experiences from Google, Anthropic’s Claude, OpenAI’s ChatGPT, and Perplexity are reshaping how users find information online. Traditional SEO strategies are no longer enough. Brands ...
BOSTON--(BUSINESS WIRE)--Teikametrics, the leading AI-powered marketplace optimization platform, today announced the launch of Gen AI Smart Pages, the first and only AI listing optimization tool built ...
Akira ransomware is abusing a legitimate Intel CPU tuning driver to turn off Microsoft Defender in attacks from security tools and EDRs running on target machines. The abused driver is 'rwdrv.sys' ...
Opinions expressed by Entrepreneur contributors are their own. AI tools like ChatGPT are becoming key referral sources for service-based businesses. Learn how to optimize your online presence so AI ...
Add native support for Bayesian hyperparameter optimization directly within MLflow, eliminating the need for external libraries like Optuna or Hyperopt. This feature would provide a deeply integrated ...
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