做作 发表于 2025-3-26 23:04:32

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减弱不好 发表于 2025-3-27 03:17:30

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表否定 发表于 2025-3-27 06:24:23

Epilogue,This chapter summarizes the main findings of the book.

细微的差异 发表于 2025-3-27 11:16:52

Data Description and Preliminary Processing,th insufficient data and then explain the process of imputing missing values in the remaining data set. Finally, we describe the process of Recursive Feature Elimination that results in the optimal number of variables that predict civil conflict.

doxazosin 发表于 2025-3-27 13:44:58

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政府 发表于 2025-3-27 20:09:02

https://doi.org/10.1007/978-3-030-81993-4machine learning; conflict studies; artificial intelligence; economic variables; demographic variables; c

characteristic 发表于 2025-3-28 01:40:17

Book 2021causal pathways that cause civil conflict over others, thus teasing out the complex interrelationships between the most important variables that cause civil conflict. Success in this realm will lead to scientific theories of conflict that will be useful in preventing and ending civil conflict. After

Popcorn 发表于 2025-3-28 04:16:08

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FADE 发表于 2025-3-28 07:07:23

Infant Mortality, State Capacity, Rents, and Civil War,st that traditional parametric empirical techniques can be misleading and have dangerous policy implications. To be precise, we show that increased government consumption expenditures can increase conflict in some variable ranges, even if the average effect is to reduce conflict.
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查看完整版本: Titlebook: Identifying the Complex Causes of Civil War; A Machine Learning A Atin Basuchoudhary,James T. Bang,Tinni Sen Book 2021 The Editor(s) (if ap