Comparative Analysis of Bagging-Enhanced Classification Models.

Figshare2025-08-01 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Comparative_Analysis_of_Bagging-Enhanced_Classification_Models_/29798909 数据链接链接失效反馈

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资源简介：

Comparative Analysis of Bagging-Enhanced Classification Models.

装袋法（Bagging）增强的分类模型对比分析

创建时间：

2025-08-01

BA (Binary Alphabet)

集成学习

谱聚类

集成聚类因其在聚类任务中的高性能而在机器学习和数据挖掘中引起了广泛关注。谱聚类是最流行的聚类方法之一，与传统的聚类方法相比具有优越的性能。现有的集成聚类方法通常直接使用基聚类算法的聚类结果进行集成学习，不能很好地利用图拉普拉斯算子在谱聚类中探索到的内在数据结构，从而无法获得理想的聚类结果。在本文中，我们提出了一种基于谱聚类的聚类算法的新集成学习方法。所提出的方法不是直接使用从每个基本谱聚类算法获得

OpenDataLab2026-07-12 更新180

Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models

低秩CNN压缩

图像分类模型

Models from experiments referenced in the paper "Training CNNs with Low-Rank Filters for Efficient Image Classification", https://arxiv.org/abs/1511.06744 Model names differ from those in the paper,

NIAID Data Ecosystem90

Code, Data, and Experimental Results for "Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods"

集成学习

Boosting算法

This dataset contains (1) all code needed to reproduce our results, (2) the 20 data sets on which we report results, and (3) all experiment results, related to the paper: "Boosting Revisited: Benchmar

4TU.ResearchData2025-10-22 更新20

Ensemble methods for HEAs

高熵合金

集成学习

The data repository contains the dataset on high entropy alloys (HEAs) and the code files related to the phase prediction of HEAs using ensemble based machine learning models.

Mendeley Data2024-03-27 更新130

Net Reclassification Improvement (NRI) of model with body weight compared to model with BMD.

疾病模型评估

图像分类模型

Values are differences in proportion of correct classification between the models with weight and BMD in each category. Negative values showed that the model with BMD performed better than the model w

Figshare2015-12-02 更新50

Comparative Analysis of Bagging-Enhanced Classification Models.

资源简介：

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