Tracking Error Minimization
Tracking Error Minimization is a methodological framework within the domain of benchmark selection that aims to reduce the divergence between the performance of a target model and a predefined benchmark by systematically optimizing alignment metrics.
264
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13.7K
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766
Authors
344
Institutions
Publications per year
2017–2026
89
Parents
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Jay A. Farrell, Marios M. Polycarpou, M. K. Sharma et al. · IEEE Transactions on Automatic Control · 2009 · 1.2K citations
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University of California, Riverside
Riverside, United States
8 h-index
15 publications
3K citations
University of California, Berkeley
Berkeley, United States
7 h-index
14 publications
611 citations

Northeastern University
Shenyang, China
5 h-index
9 publications
389 citations

Beijing Institute of Technology
Beijing, China
5 h-index
12 publications
966 citations
Tsinghua University
Beijing, China
5 h-index
15 publications
472 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
5 h-index
5 publications
267 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
5 h-index
15 publications
396 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
10 publications
256 citations
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12 publications · 3.1K citations
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6 publications · 421 citations
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