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Extra resources for Antenna-Radio Propagation Part 4 - Canadian MIL TM
Recall ψ(g, h = 0, i = 1, j) in (3). The evidence expanded form F (ψ) is p(h|g, j) · 1(h = 0) · p(g|d, i) · 1(i = 1) · p(c) · p(d|c), (12) c d and the evidence normal form γ · N is p(g|d, i) · 1(h = 0, i = 1) · p(h|g, j) · d p(c) · p(d|c), (13) c namely, γ = 1(h = 0, i = 1) and N is (6). Lemma 4. , F (ψ) = γ · N . Proof. Since evidence variables are never marginalized in VE, the claim follows from Lemma 1. Strong Completeness of Semantics in Bayesian Network Inference 21 Observe that, by Lemma 3, N in evidence normal form is a CPT.
Section 6 discusses how we use machine learning to validate our hypotheses. Section 7 concludes the paper and gives future research directions. 1 Personal Health Information in Social Networks Emergence of social networks, weblogs and other online technologies, has given people more opportunities to share their personal information. , symptoms, treatments, medical care) among other factors of personal life. In fact, 19%-28% of all Internet users participate in medical online forums, health-focused groups and communities and visit healthdedicated web sites [1,14].
In these sentences, there are 1865 distinct terms. After removing the words with the same roots and deleting the symbols and numerical terms, 1669 unique words have been identified. Next, generating a standard Bag of Words document representation 36 K. Ghazinou, M. Sokolova, and S. Matwin and the sentences are vectorized (0 for not existing and 1 for existing). Hence, we have vectors of 1669 attributes that are either 0 or 1 and one more attribute which is the label of the sentence, the privacy class (0 = NHI, 1 = PHI-HI).
Antenna-Radio Propagation Part 4 - Canadian MIL TM