Dynamics of international mediation: Analysis using machine learning methods

被引：3

作者：

Wickboldt, AK ^{[1
]}

Bercovitch, J

Piramuthu, S

机构：

[1] MIT, Cambridge, MA 02139 USA

[2] Univ Canterbury, Christchurch 1, New Zealand

[3] Univ Penn, Philadelphia, PA 19104 USA

来源：

CONFLICT MANAGEMENT AND PEACE SCIENCE | 1999年 / 17卷 / 01期

关键词：

D O I：

10.1177/073889429901700102

中图分类号：

D81 [国际关系];

学科分类号：

030207 ;

摘要：

This paper develops a framework to help us understand the dynamics of international mediation efforts and their consequences. This approach identifies the relevant variables that influence the success of these mediation efforts as well as the relationships among these variables in influencing mediation outcomes. The framework incorporates techniques that have been developed under the rubric of machine learning, specifically feature selection and induced decision trees. In addition to confirming some results from previous studies, results from this study provide new insights on some of the most important factors affecting international mediation.

引用

页码：49 / 68

页数：20

共 50 条

[1] Causal mediation analysis with double machine learning
Farbmacher, Helmut
Huber, Martin
Laffers, Lukas
Langen, Henrika
Spindler, Martin
ECONOMETRICS JOURNAL, 2022, 25 (02): : 277 - 300
[2] Clinical Text Analysis Using Machine Learning Methods
Chodey, Krishna Prasad
Hu, Gongzhu
2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS), 2016, : 1087 - 1092
[3] ANALYSIS OF LArTPC DATA USING MACHINE LEARNING METHODS
Falko, A.
Gogota, O.
Yermolenko, R.
Kadenko, I.
JOURNAL OF PHYSICAL STUDIES, 2024, 28 (01):
[4] A Survey on Sentiment Analysis by using Machine Learning Methods
Yang, Peng
Chen, Yunfang
PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 117 - 121
[5] Soil microbial dynamics prediction using machine learning regression methods
Jha, Sunil Kr.
Ahmad, Zulfiqar
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 147 : 158 - 165
[6] Machine learning methods in authentication problems using password keystroke dynamics
Kaganov V.Y.
Korolev A.K.
Krylov M.N.
Mashechkin I.V.
Petrovskii M.I.
Computational Mathematics and Modeling, 2015, 26 (3) : 398 - 407
[7] Prediction of COMT Inhibitors Using Machine Learning and Molecular Dynamics Methods
Roy, Rakesh Kumar
Patra, Niladri
JOURNAL OF PHYSICAL CHEMISTRY B, 2022, 126 (19): : 3477 - 3492
[8] Comparative Exploratory Analysis of Intrinsically Disordered Protein Dynamics Using Machine Learning and Network Analytic Methods
Grazioli, Gianmarc
Martin, Rachel W.
Butts, Carter T.
FRONTIERS IN MOLECULAR BIOSCIENCES, 2019, 6
[9] Automation of Software Code Analysis Using Machine Learning Methods
Moshkin, V. S.
Dyrnochkin, A. A.
Yarushkina, N. G.
PATTERN RECOGNITION AND IMAGE ANALYSIS, 2023, 33 (03) : 417 - 424
[10] Photovoltaic Power Analysis and Prediction Using Machine Learning Methods
Shehadah, Halah
Shamir, Lior
2021 3RD INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS (SPIES 2021), 2021, : 404 - 408

← 1 2 3 4 5 →