raskol
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Registered User
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Apr 1 |
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 $D_{KL}(P_2,P_1)/D_{KL}(P_3,P_1)$ ? |
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Apr 1 |
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 $D_{KL}(P_2,P_1)/D_{KL}(P_3,P_1)$ ? |
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Mar 29 |
awarded | ● Student |
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Mar 29 |
asked | KL divergence(s) comparison, |
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Mar 18 |
comment |
Equivalent Markov Random Fields In 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. |
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Mar 16 |
asked | Equivalent Markov Random Fields |
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Feb 8 |
asked | Equilibrium of random zero-sum game, |
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Dec 7 |
awarded | ● Scholar |
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Dec 5 |
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. |
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Dec 3 |
asked | How to work with infinite random graph(s) ? |
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Dec 3 |
asked | softmax activation function with infinite support ? |
