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datasets and init models for active code learning
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Authors, Anonymous创建时间：
2023-03-29
相关数据集
Data for "Role of Multifidelity Data in Sequential Active Learning Materials Discovery Campaigns: Case Study of Electronic Bandgap"
This Figshare repository contains data used in the study entitled "Role of Multifidelity Data in Sequential Active Learning Materials Discovery Campaigns: Case Study of Electronic Bandgap", by Ryan Ja
DataCite Commons2025-04-01 更新90
Using Generative AI to Develop Active Learning Experiences [Torus]
Project: Using Generative AI to Develop Active Learning Experiencesâ Project ID: using_large_language_models_in Section: Using Generative AI to Develop Active Learning Experience Section ID: usi
DataCite Commons2026-04-25 更新30
Multi-label Pathway Prediction based on Active Dataset Subsampling
We include samples of various data types used in the work "Multi-label Pathway Prediction based on Active Dataset Subsampling" (under-review) More information about the software package and instructio
Zenodo2020-09-15 更新30
FOCAL Dataset: Ford-OLIVES Collaboration on Active Learning
In this dataset, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting. Annotati
Mendeley Data2024-06-27 更新70
The use of active learning methods in MBA marketing
Abstract This article reports the experience of a single embedded case study that discusses the application of active learning methods. It aims to broaden the understanding of the benefits and the ope
Figshare2019-03-01 更新30
