uplift model—标签转化法( Class Transformation)(第一篇) 论文地址:Uplift modeling for clinical trial data 主要贡献: 寻找高增益人群,如医学实验场景,寻找药物的有效人群。 或者广告,红包场景中因广告,红包而转化的人群,去掉不敏感人群以及自转化人群,从而提升活动效益。 通过标签转化后可以使用一切现有模型直接建模...
Jas´kowski M, Jaroszewicz S (2012) Uplift modeling for clinical trial data. In: ICML 2012 workshop on machine learning for clinical data analysis, EdinburghJaśkowski, M., Jaroszewicz, S.: Uplift modeling for clinical trial data. In: ICML 2012 Workshop on Clinical Data Analysis, ...
^Maciej Jaskowski and Szymon Jaroszewicz. Uplift modeling for clinical trial data. In ICML Workshop on Clinical Data Analysis, 2012.https://people.cs.pitt.edu/~milos/icml_clinicaldata_2012/Papers/Oral_Jaroszewitz_ICML_Clinical_2012.pdf ^abAthey S, Imbens G W. Machine learning methods for ...
Uplift modeling with survival data Uplift modeling is a subfield of machine learning which aims at predicting differences between class probabilities in treat- ment and control groups. This ... S Jaroszewicz,P Rzepakowski 被引量: 0发表: 0年 A 4-year trial of tiotropium in chronic obstructive...
Causal Inference and Uplift Modeling: A review of the literature Uplift modeling for clinical trial data Pylift: A FastPythonPackage for Uplift Modeling 阿里文娱智能营销增益模型技术实践 本文转载自公众号贝壳产品技术(ID:beikeTC)。 原文链接:
Jaśkowski, M. & Jaroszewicz, S. (2012). Uplift modeling for clinical trial data. In: ICML, 2012, Workshop on machine learning for clinical data analysis. Edinburgh, Scotland, June 2012, 1-8. Kane, K., Lo, VSY. & Zheng, J. (2014). Mining for the truly responsive customers ...
Uplift modeling addresses this problem by using two training sets: the treatment dataset containing data on objects on which the action has been taken and the control dataset containing data on objects left untreated. A model is then built which predicts the difference between outcomes after ...
为了解决上述局限,在Machine Learning Methods for Estimating Heterogeneous Causal Effects这篇论文中,作者提出了一种更通用的 class transformation 方法用于 uplift 预估,感兴趣的同学可以阅读一下。 参考 Uplift modeling for clinical trial data scikit-uplift...
(2015). Machine Learning Methods for Estimating Heterogeneous Causal Effects. (Rzepakowsk, P., & Jaroszewics, S. (2010).Decision Trees for Uplift Modeling. 2010 IEEE International Conference on Data Mining.) Athey, S., & Imbens, G. (2016).Recursive partitioning for heterogeneous causal ...