Introduction to Machine Learning: Class Notes 67577
نویسنده
چکیده
Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).
منابع مشابه
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Theorem 1 (Double Sampling) Let C be any concept class of VC dimension d. Let L be any algorithm that when given a set S of m labeled examples {xi, c(xi)}i, sampled i.i.d according to some fixed but unknown distribution D over the instance space X, of some concept c ∈ C, produces as output a concept h ∈ C that is consistent with S. Then L is a learning algorithm in the formal sense provided tha...
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ورودعنوان ژورنال:
- CoRR
دوره abs/0904.3664 شماره
صفحات -
تاریخ انتشار 2009