Feature Acquisition
Feature Acquisition is a scholarly contribution in the field of distinctive features that introduces a novel method, model, framework, theory, construct, dataset, task, or metric uniquely designed to identify, extract, or operationalize distinguishing characteristics within a domain-specific context.
115
Publications
5.6K
Citations
331
Authors
149
Institutions
Publications per year
2017–2026
59
Parents
115
Boolean Feature Discovery in Empirical Learning
Giulia Pagallo, David Haussler · Machine Learning · 1990 · 398 citations · Full text
Assessment of features technology
Jami J. Shah · Computer-Aided Design · 1991 · 337 citations
1–5 of 115
331
6
h-index
The University of Texas at Austin, United States
5 publications · 298 citations
5
h-index
5
h-index
3
h-index
3
h-index
1–5 of 331
149
New York University
New York, United States
6 h-index
6 publications
310 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
9 publications
510 citations
The University of Texas at Austin
Austin, United States
5 h-index
11 publications
650 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
254 citations
University of Maryland, College Park
College Park, United States
3 h-index
6 publications
149 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
14 publications
210 citations

The University of Queensland
Brisbane, Australia
2 h-index
4 publications
139 citations

Hefei University of Technology
Hefei, China
2 h-index
4 publications
250 citations
1–8 of 149
Repository · 3 publications · 54 citations
4
h-index
3 publications · 395 citations
3
h-index
2 publications · 22 citations
3
h-index
JAG · 2 publications · 80 citations
2
h-index
2 publications · 160 citations
2
h-index
1–5