Learning Decision Rules Empirically
Assume a teacher presenting a sequence ηn = (ωn, dn),n = ... −1, 0,1,... of pairs of symptoms and associated diagnoses afteranother. Let ωn ∈ Ω (where Ω denotes, e.g., a subset of some M-variate Euclidean space). Admit dn = 0,1, where the value taken by dn declares whether, at instant n, some hypotheses H or its negation Hc actually holds.
KeywordsDecision Rule Reproduce Kernel Hilbert Space Positive Definite Function Optimal Decision Rule Finite Dimensional Estimate
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