A hyper-parameter optimization framework ... the predominant practice of using imaging datasets in machine learning, we have used cybersecurity datasets to illustrate the advantages of the proposed ...

Abstract: The Kappa Regression algorithm has been shown to provide great performance results, but hyper-parameter tuning can, at times ... this property over a wide range of datasets. Using this ...

CHENNAI, India, May 20, 2025 (GLOBE NEWSWIRE) -- Sify Technologies Limited (NASDAQ: SIFY), India’s leading Digital ICT solutions provider, announced the launch of its unique Pay-per-use model to ...

Using optical tweezers composed of laser light, researchers have developed a novel way to manipulate individual atoms and create a state of hyper-entanglement. This breakthrough could lead to new ...

LLaMEA (Large Language Model Evolutionary Algorithm) is an innovative framework that leverages the power of large language models (LLMs) such as GPT-4 for the automated generation and refinement of ...

Hyperparameter tuning focuses on finding the best values for hyperparameters, optimization is concerned with finding the best model parameters that minimize the loss function. Both processes are ...