Hypothesis Space Design
Hypothesis Space Design is the systematic formulation of a structured set of plausible hypotheses within a research domain, distinguished by its intentional scoping, organization, and constraints that guide the generation, selection, and evaluation of hypotheses in empirical inquiry.
45
Publications
4.8K
Citations
132
Authors
58
Institutions
Publications per year
2017–2026
6
Parents
45
Efficient and robust automated machine learning
Matthias Feurer, Aaron Klein, Katharina Eggensperger et al. · Neural Information Processing Systems · 2015 · 1.3K citations
A Model of Inductive Bias Learning
2000 · 781 citations
A Model of Inductive Bias Learning
Journal of Artificial Intelligence Research · 2000 · 555 citations · Full text
1–5 of 45
132
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1
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1
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1
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1 publications · 25 citations
1
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1–5 of 132
58

Data61
Sydney, Australia
2 h-index
5 publications
154 citations

University of Freiburg
Freiburg im Breisgau, Germany
2 h-index
7 publications
7.6K citations

Australian National University
Canberra, Australia
2 h-index
5 publications
154 citations
Google (United States)
Mountain View, United States
2 h-index
4 publications
192 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
268 citations
University of Washington
Seattle, United States
2 h-index
3 publications
426 citations
Seoul National University
Seoul, South Korea
1 h-index
3 publications
81 citations
Innate Pharma (France)
Marseille, France
1 h-index
1 publications
93 citations
1–8 of 58
JAIR · 2 publications · 570 citations
2
h-index
Repository · 2 publications · 37 citations
2
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TFS · 1 publications · 14 citations
1
h-index
1 publications · 80 citations
1
h-index
1 publications · 21 citations
1
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1–5