On multi-class classification through the minimization of the confusion matrix norm

By Sokol Koço, Cécile Capponi. 2013

26 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks

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In Evaluation & Benchmarks

1. Matt Gardner
2. Sameer Singh
3. Dheeru Dua
4. Harikrishna Narasimhan
5. Harish Guruprasad Ramaswamy
6. Shivani Agarwal
7. Aadirupa Saha
8. Jonathan Berant

Citations in the corpus

• Benefits of Intermediate Annotations in Reading Comprehension (2020, background): “true positives), to zero (Koço and Capponi, 2013) (lower confusion loss implies more diffusion).”
• Consistent Multiclass Algorithms for Complex Performance Measures (2015, background): “…matrix include the macro F 1 -measure (Lewis, 1991), the H-mean (Kennedy et al., 2009), the Q-mean (Lawrence et al., 1998), the spectral norm measure (Ralaivola, 2012; Machart & Ralaivola, 2012; Koco & Capponi, 2013), and the min-max measure in detection theory (Vincent, 1994); see Table 1.”