Equivalence of models for polynomial learnability
نویسندگان
چکیده
منابع مشابه
AdaBoost Lecturer : Shivani Agarwal Scribe : Anil C R 1 Equivalence of Models for Polynomial ( Efficient ) Learnability
Let H = ∪n=1Hn, where Hn ⊂ {±1}Xn , define the complexity as the mapping: Complexity : H→N and, Hn,s = {h ∈ H | Complexity(h) ≤ s}. H is efficiently (strongly) learnable if there exists a algorithm A defined as a mapping A : ∪n=1 ∪s=1 ∪t∈Hn,s(Xn × t)→{±1} which, given any set S ∈ (Xn × t) and, returns hS ∈ {±1}Xn s.t, ∀ and δ ∈ (0, 1),∃m0 = m0( , δ, n, s) s.t for all distributions μ on Xn, t ∈ ...
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ژورنال
عنوان ژورنال: Information and Computation
سال: 1991
ISSN: 0890-5401
DOI: 10.1016/0890-5401(91)90042-z