Dynamic Hypothesis Formulation
Dynamic Hypothesis Formulation is a model formulation approach that systematically generates and refines hypotheses over time through iterative feedback loops, distinguishing itself from static hypothesis generation by its adaptive integration of new evidence and contextual changes.
15
Publications
529
Citations
52
Authors
34
Institutions
Publications per year
2017–2026
6
Parents
15
Extreme learning machine towards dynamic model hypothesis in fish ethology research
Rui Nian, Bo He, Bing Zheng et al. · Neurocomputing · 2013 · 55 citations
L. Clarke Stout, Shimareet Kumar, Elbert B. Whorton · Human Pathology · 1994 · 55 citations
Medicine, Nephrology, Pathology +17
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34

Asian Institute of Technology
Pathum Thani, Thailand
1 h-index
1 publications
47 citations
University at Albany, State University of New York
Albany, United States
1 h-index
1 publications
39 citations

University of Trento
Trento, Italy
1 h-index
1 publications
30 citations
Memorial Medical Center
Modesto, United States
1 h-index
3 publications
51 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
1 publications
30 citations

University of the Basque Country
Leioa, Spain
1 h-index
1 publications
55 citations

RAND School of Public Policy
Santa Monica, United States
1 h-index
1 publications
39 citations
Royal Society of Tropical Medicine and Hygiene
London, United Kingdom
1 h-index
1 publications
39 citations
1–8 of 34
3 publications · 73 citations
3
h-index
1 publications · 19 citations
1
h-index
1 publications · 36 citations
1
h-index
1 publications · 55 citations
1
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1 publications · 47 citations
1
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1–5