Subsemble: an ensemble method for combining subset-specific algorithm fits

Stephanie Sapp; Mark J. van der Laan; John Canny

首页> 外文期刊>Journal of applied statistics >Subsemble: an ensemble method for combining subset-specific algorithm fits

【24h】

Subsemble: an ensemble method for combining subset-specific algorithm fits

机译：子集：用于结合特定子集算法拟合的集成方法

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Ensemble methods using the same underlying algorithm trained on different subsets of observations have recently received increased attention as practical prediction tools for massive data sets. We propose Subsemble: a general subset ensemble prediction method, which can be used for small, moderate, or large data sets. Subsemble partitions the full data set into subsets of observations, fits a specified underlying algorithm on each subset, and uses a clever form of Ⅴ-fold cross-validation to output a prediction function that combines the subset-specific fits. We give an oracle result that provides a theoretical performance guarantee for Subsemble. Through simulations, we demonstrate that Subsemble can be a beneficial tool for small- to moderate-sized data sets, and often has better prediction performance than the underlying algorithm fit just once on the full data set. We also describe how to include Subsemble as a candidate in a SuperLearner library, providing a practical way to evaluate the performance of Subsemble relative to the underlying algorithm fit just once on the full data set.

机译：最近，使用针对不同观测子集训练的相同基础算法的集成方法作为海量数据集的实用预测工具受到越来越多的关注。我们提出了Subsemble：一种通用的子集集成预测方法，可用于小型，中型或大型数据集。子集将整个数据集划分为观察子集，对每个子集拟合指定的基础算法，并使用Ⅴ形交叉验证的巧妙形式输出结合了子集特定拟合的预测函数。我们给出一个预言结果，该结果为Subsemble提供了理论上的性能保证。通过仿真，我们证明了Subsemble对于中小型数据集可以是一种有益的工具，并且比基础算法仅对整个数据集拟合一次具有更好的预测性能。我们还描述了如何将Subsemble作为SuperLearner库的候选对象，从而提供了一种实用的方法来评估Subsemble相对于仅适用于整个数据集的基础算法的性能。

著录项

来源
《Journal of applied statistics》 |2014年第6期|1247-1259|共13页
作者
Stephanie Sapp; Mark J. van der Laan; John Canny;
展开▼
作者单位

Department of Statistics, University of California at Berkeley, Berkeley, CA, USA;

Division of Biostatistics, University of California at Berkeley, Berkeley, CA, USA;

Division of Computer Science, University of California at Berkeley, Berkeley, CA, USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
ensemble methods; prediction; cross-validation; machine learning; big data;

机译：合奏方法;预测;交叉验证;机器学习大数据;

相似文献

外文文献
中文文献
专利

1. How sensitive are probabilistic precipitation forecasts to the choice of calibration algorithms and the ensemble generation method? Part II: Sensitivity to ensemble generation method [J] . Ruiz J.J., Saulo C., Kalnay E. Meteorological applications . 2012,第3期

机译：概率降水预报对校准算法和集合生成方法的选择有多敏感？第二部分：对合奏生成方法的敏感性
2. How sensitive are probabilistic precipitation forecasts to the choice of calibration algorithms and the ensemble generation method? Part I: Sensitivity to calibration methods [J] . Ruiz J.J., Saulo C. Meteorological applications . 2012,第3期

机译：概率降水预报对校准算法和集合生成方法的选择有多敏感？第一部分：对校准方法的敏感性
3. Multiple clustering and selecting algorithms with combining strategy for selective clustering ensemble [J] . Ma Tinghuai, Yu Te, Wu Xiuge, Soft computing: A fusion of foundations, methodologies and applications . 2020,第20期

机译：多种聚类和选择算法选择性集群合并策略
4. The impact on the classification performance of the combined use of different classification methods and different ensemble algorithms in chronic kidney disease detection [C] . Kübra Eroğlu, Tuğba Palabaş 2016 National Conference on Electrical, Electronics and Biomedical Engineering . 2016

机译：慢性肾脏病检测中不同分类方法和不同集成算法的结合使用对分类性能的影响
5. Subsemble: A Flexible Subset Ensemble Prediction Method [D] . Sapp, Stephanie Karen 2014

机译：子集：一种灵活的子集集合预测方法
6. Subsemble: an ensemble method for combining subset-specific algorithm fits [O] . Stephanie Sapp, Mark J. van der Laan, John Canny -1

机译：子集：用于结合特定子集算法拟合的集成方法
7. Subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits [O] . Sapp Stephanie, van der Laan Mark J., Canny John 2013

机译：组合：用于组合特定于子集的算法拟合的组合方法

Subsemble: an ensemble method for combining subset-specific algorithm fits

摘要

著录项

相似文献

相关主题

期刊订阅