Bayesian Optimization

Bayesian Optimization for Multicomponent Supramolecular Systems

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Bayesian Optimization for Multicomponent Supramolecular Systems

Hello everyone, today I would like to share a recent research progress published in J. Am. Chem. Soc..The title is: Bayesian Optimization for Multicomponent Supramolecular Systems.The corresponding authors of this work are fromEindhoven University of Technology,E. W. Meijer and Tom F. A. de Greef.. In supramolecular systems, multicomponent molecules self-assemble through non-covalent interactions to achieve … Read more

Soft Reasoning: An Efficient Inference Paradigm for Large Language Models

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Soft Reasoning: An Efficient Inference Paradigm for Large Language Models

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Paper Title: Soft Reasoning: … Read more

Hyperparameter Tuning Using Bayesian Optimization in MATLAB

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Hyperparameter Tuning Using Bayesian Optimization in MATLAB

“Hyperparameter optimization is a key step in the development of deep reinforcement learning algorithms, aimed at improving performance by adjusting the algorithm’s hyperparameters. Currently, there are various hyperparameter optimization methods, among which Bayesian optimization is widely used due to its efficiency and intelligent search mechanism. Therefore, this article mainly studies hyperparameter optimization methods based on … Read more