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stat.ML2022★ 1 cited
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano
The statistical characteristics of instance-label pairs often change with time in practical scenarios of supervised classification. Conventional learning techniques adapt to such c…
stat.ML2022★ 1 cited
Minimax risk classifiers with 0-1 loss
Santiago Mazuelas, Mauricio Romero, Peter Grünwald
Supervised classification techniques use training samples to learn a classification rule with small expected 0-1 loss (error probability). Conventional methods enable tractable lea…