We use Jensen-Shannon divergence to measure the difference between the frequency distributions of the first n and the last n words by two users (n = 3). 5.2 Classification Models In this section, we propose two models for the pairwise classification phase. In Model 1, a support vector ...
We can specialise this inequality to the case when a uniform random variable on a finite range of some cardinality , in which case the Kullback-Leibler divergence simplifies to where is the Shannon entropy of . Again, a routine application of Jensen’s inequality shows that , with equality...
We now use Jensen–Shannon divergence (JSD) between probability distributions \(P_{\mathrm{{past}},c}(a)\) and \(P_{\mathrm{{past}},c}(b)\) to measure the similarity between the past contexts of the trainings a and b. We measure the similarity between \(P_{\mathrm{{future}},c...
Surely, NDDs are the price both humans and TWs pay for the molecular underpinning that makes it possible for humans and TWs to live almost unmatched long lives and to be exposed to various but shared danger factors (Fig. 2). The neuropathological features of NDDs represent a final common ...