IEEE

An Embedded Unlabeled Data Partitioning PU-Learning Method Based on Genetic Programming

Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...
C&EN

A Detergent-Free Grinding Sample Preparation Method Dramatically Enhances PELSA for Mapping Integral Membrane Proteins–Ligand Interaction

State Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese ...
GitHub

reyisjones/AI-and-Automation-Sample-Pack

Microsoft-AI-Automation-Labs/ ├── 📁 Scenario1-EmailNotifications/ │ ├── 🔷 CSharp/ # .NET 8 Web API with Semantic Kernel │ ├── 🐍 Python/ # Azure Functions v4 HTTP trigger │ └── 📘 TypeScript/ # Node ...
IEEE

Sample Trajectory Selection Method Based on Large Language Model in Reinforcement Learning

Abstract: This paper introduces a method for trajectory selection using large-scale pre-trained language models, aiming to improve sample and training efficiency in reinforcement learning. By using a ...