Cs 674/info 630: Advanced Language Technologies
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چکیده
P~ θ : V 7→ [0, 1], where ~ θ is an element of the m-dimensional probability simplex. Hence the probability assigned to a single term vj is defined as: P~ θ (vj) def = θ[j]. Also recall from the previous lecture that the Kullback–Leibler (KL) divergence between two probability distributions P~ θ and P~ θ′ , i.e. the expected log-likelihood ratio with respect to P~ θ, is defined as: D(P~ θ ‖P~ θ′) = m ∑
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