Input Variable Allocation
Input Variable Allocation is a methodological construct in prescription map development that specifies the systematic assignment of predictor variables to spatial or temporal decision units based on their relevance, uncertainty, and contribution to optimizing prescriptive accuracy.
45
Publications
2K
Citations
125
Authors
68
Institutions
Publications per year
2017–2026
11
Parents
45
An evaluation framework for input variable selection algorithms for environmental data-driven models
Stefano Galelli, Greer B. Humphrey, Holger R. Maier et al. · Environmental Modelling & Software · 2014 · 207 citations · Full text
Natural Sciences, Environmental Engineering, Environmental Sciences +16
Selecting Input Variables for Fuzzy Models
S. Chiu · Journal of Intelligent & Fuzzy Systems · 1996 · 134 citations
1–5 of 45
125
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 125
68

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
245 citations

Ghent University
Ghent, Belgium
2 h-index
4 publications
110 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
4 publications
236 citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
2 h-index
3 publications
212 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
2 h-index
3 publications
212 citations
Tianjin University of Commerce
Tianjin, China
1 h-index
1 publications
26 citations

Newcastle University
Newcastle upon Tyne, United Kingdom
1 h-index
2 publications
30 citations

Pennsylvania State University
State College, United States
1 h-index
2 publications
22 citations
1–8 of 68
2 publications · 169 citations
2
h-index
1 publications · 18 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 134 citations
1
h-index
1–5