Apr1 comment KL divergence(s) comparison,Thank you. If we specify that KL is continuous at $(S_2, S_1)$ (respectively $(S_3, S_1)$) and that the distributions $S_1$, $S_2$, $S_3$ are strictly positive over all the support elements. Is it possible to characterize $D_{KL}(P_2,P_1)/D_{KL}(P_3,P_1)$ ? Apr1 comment KL divergence(s) comparison,Thank you. If we specify that KL is continuous at $(S_2, S_1)$ (respectively $(S_3, S_1)) and that the distributions$S_1$,$S_2$,$S_3$are strictly positive over all the support elements, is it possible to characterize$D_{KL}(P_2,P_1)/D_{KL}(P_3,P_1)$? Mar29 awarded ● Student Mar29 asked KL divergence(s) comparison, Mar18 comment Equivalent Markov Random FieldsIn the case of Bayesian networks: "It has been noted that different Bayesian networks may be equivalent in the sense that they actually represent the same joint probability distribution (and thus conditional independency information as well), even though they have different graphical structures." (cs.uregina.ca/Research/Techreports/2002-02.ps). I am asking the same question for MRFs. Mar16 asked Equivalent Markov Random Fields Feb8 asked Equilibrium of random zero-sum game, Dec7 awarded ● Scholar Dec5 comment softmax activation function with infinite support ?Forgive me. Supposing that we have an infinite network$G_{\infty}$with vertices$V=[1, \infty]$. Herein,$q_i$is the value of the node$i \in V$. The$q_i\$ are determined by a random walk that starts from a node. Dec3 asked How to work with infinite random graph(s) ? Dec3 asked softmax activation function with infinite support ?