Model Space Exploration is a systematic computational strategy within Bayesian Model Averaging that identifies and evaluates plausible models in the space of all possible models by specifying priors over model structures and efficiently navigating the space to approximate posterior model probabilities.
531
Publications
33.6K
Citations
1.4K
Authors
635
Institutions
Publications per year
2017–2026
161
Parents
Publications
531
Model checking for programming languages using VeriSoft
Patrice Godefroid · 1997 · 829 citations · Full text
DensiTree: making sense of sets of phylogenetic trees
Remco Bouckaert · Bioinformatics · 2010 · 729 citations · Full text
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo, Wei‐Lun Chao, Boqing Gong et al. · 2016 · 715 citations · Full text
1–5 of 531
Authors
1.4K
- JO
7
h-index
- NC
6
h-index
- GA
5
h-index
- JP
5
h-index
- XL
5
h-index
1–5 of 1.4K
Institutions
635
University of Waterloo
Waterloo, Canada
12 h-index
22 publications
2.1K citations
Stanford University
Stanford, United States
10 h-index
18 publications
1.1K citations
Centre National de la Recherche Scientifique
Paris, France
9 h-index
21 publications
1K citations
The University of Texas at Austin
Austin, United States
9 h-index
13 publications
1K citations
Texas A&M University
College Station, United States
9 h-index
16 publications
755 citations
University of Chicago
Chicago, United States
9 h-index
21 publications
1.1K citations
Duke University
Durham, United States
9 h-index
17 publications
1.9K citations
Argonne National Laboratory
Lemont, United States
8 h-index
23 publications
1.1K citations
1–8 of 635
Venues
- Geophysical Journal International
GJI · 20 publications · 1.5K citations
19
h-index
- Geophysics
19 publications · 2.1K citations
18
h-index
- Physical Review C
PRC · 18 publications · 535 citations
14
h-index
- arXiv (Cornell University)
Repository · 16 publications · 1.1K citations
13
h-index
- Physical review. C
PRC · 9 publications · 251 citations
9
h-index
1–5