Question: 9.2 Multi-class classi cation with kernel-based hypotheses constrained by an Lp norm. Use corollary 9.4 to de ne alternative multi-class classi cation algorithms with kernel-based

9.2 Multi-class classication with kernel-based hypotheses constrained by an Lp norm. Use corollary 9.4 to dene alternative multi-class classication algorithms with kernel-based hypotheses constrained by an Lp norm with p 6= 2. For which value of p 1 is the bound of proposition 9.3 tightest? Derive the dual optimization of the multi-class classication algorithm dened with p = 1.

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