Provide a formula for the likelihood function

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Reference no: EM131855083

Problem

In this exercise, we show how to learn Markov networks with shared parameters, such as a relational Markov network (RMN).

a. Consider the log-linear model of example, where we assume that the Study-Pair relationship is determined in the relational skeleton. Thus, we have a single template feature, with a single weight, which is applied to all study pairs. Derive the likelihood function for this model, and the gradient.

b. Now provide a formula for the likelihood function and the gradient for a general RMN.

Reference no: EM131855083

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