Algorithmic Pruning
Algorithmic Pruning is a backtracking optimization strategy that systematically eliminates infeasible or suboptimal branches from the search space by applying constraint-based or heuristic criteria to avoid redundant exploration.
116
Publications
5.9K
Citations
286
Authors
143
Institutions
Publications per year
2017–2026
29
Parents
116
How many hidden layers and nodes?
Demetris Stathakis · International Journal of Remote Sensing · 2009 · 441 citations
J. Markel · IEEE Transactions on Audio and Electroacoustics · 1971 · 273 citations
1–5 of 116
286
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143
Ben-Gurion University of the Negev
Beersheba, Israel
5 h-index
11 publications
167 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
5 h-index
8 publications
157 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
7 publications
169 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
3 publications
116 citations

Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
6 publications
130 citations
Northern University of Malaysia
Jitra, Malaysia
2 h-index
2 publications
22 citations

University of Alberta
Edmonton, Canada
2 h-index
4 publications
48 citations

University of Basel
Basel, Switzerland
2 h-index
4 publications
72 citations
1–8 of 143
5 publications · 196 citations
5
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4 publications · 71 citations
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Conference · 3 publications · 149 citations
3
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3 publications · 198 citations
3
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3 publications · 89 citations
3
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1–5