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Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia
Rolando Gonzales Martinez
, Mariza Cooray
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Dive into the research topics of 'Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia'. Together they form a unique fingerprint.
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Computer Science
Machine Learning
100%
Learning System
100%
Machine Learning Approach
50%
Machine Learning Model
50%
Integrated Data
25%
Generalizability
25%
Spatial Pattern
25%
Protection Policy
25%
Social Sciences
Survey Analysis
100%
Indonesia
100%
Household Survey
50%
Income Distribution
50%
Diverse Context
50%
Keyphrases
Spatial Machine Learning
100%
Poverty Targeting
100%
Exclusion Error
33%
Proxy Means Test
33%
Social Protection Policies
16%
Inclusion Error
16%
Economics, Econometrics and Finance
Machine Learning
100%
Social Welfare
12%
Income Distribution
12%
Psychology
Learning Model
100%