IfBO surrogate-compressed

NIAID Data Ecosystem2026-05-10 收录

贝叶斯优化

自动化机器学习

数据链接：

https://figshare.com/articles/dataset/IfBO_surrogate-compressed/31286173 数据链接链接失效反馈

官方服务：

资源简介：

https://github.com/automl/ifbo

创建时间：

2026-02-06

yzhuang/autotree_automl_house_16H_gosdt_l512_d3_sd2

自动化机器学习

房地产数据分析

--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float64 - name: input_y sequence: sequence: float32 - name: rtg sequence:

Hugging Face2023-09-02 更新90

section5.zip

自动化机器学习

实验数据

Raw data for the experiments in Section 5 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning

DataCite Commons2020-09-03 更新70

Benchmark data

自动化机器学习

神经网络架构

Collection of publicly available benchmarks (LCBench, PD1, NAS-Bench-101, NAS-Bench-201, and JAHS) for easy access.

Figshare2025-03-28 更新30

A Hierarchical Expected Improvement Method for Bayesian Optimization

贝叶斯优化

层次分析法

The Expected Improvement (EI) method, proposed by Jones, Schonlau, andWelch, is a widely used Bayesian optimization method, which makes use of a fitted Gaussian process model for efficient black-bo

DataCite Commons2025-04-01 更新70

Efficient and Robust Automated Machine Learning - Section 7

自动化机器学习

实验数据

Raw data for the experiments in Section 7 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning

DataCite Commons2020-09-03 更新60