Grade Distribution Modeling
Grade Distribution Modeling is a methodological framework within block modeling that characterizes the probabilistic allocation of categorical grades or performance levels across entities in a network, distinguished by its focus on modeling the distributional patterns of grade assignments as indicators of structural equivalence.
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753
Citations
49
Authors
30
Institutions
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2017–2026
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Active learning for ranking through expected loss optimization
Bo Long, Olivier Chapelle, Ya Zhang et al. · 2010 · 84 citations
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Stanford University
Stanford, United States
2 h-index
3 publications
159 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
2 publications
128 citations
University of Utah
Salt Lake City, United States
2 h-index
6 publications
96 citations
Yahoo (United States)
Sunnyvale, United States
2 h-index
7 publications
508 citations

Lehigh University
Bethlehem, United States
2 h-index
2 publications
33 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
44 citations
University of Chile
Santiago, Chile
1 h-index
1 publications
15 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
19 citations
1–8 of 30
2 publications · 89 citations
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2 publications · 136 citations
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2 publications · 33 citations
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1 publications · 58 citations
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1 publications · 38 citations
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