each parents configuration causes immense fragmentation. If a variable has 3 parents that can each take 10 states, then state counts will be done separately for <cite>10^3 = 1000</cite> parents configurations. This makes MLE very fragile and unstable for learning Bayesian Network parameters. A way to mitigate MLE’s overfitting is <em>Bayesian Parameter Estimation</em>.</p>
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<section id="bayesian-parameter-estimation">
<h2>Bayesian Parameter Estimation<a class="headerlink" href="#bayesian-paramet