nope<p>Building interpretable models: From Bayesian networks to neural networks<br>(2016) Krakovna, Viktoriya<br>Url: <a href="https://dash.harvard.edu/handle/1/33840728" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dash.harvard.edu/handle/1/3384</span><span class="invisible">0728</span></a><br><a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>my_bibtex</span></a> <a href="https://mastodon.social/tags/bayesian_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian_network</span></a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machine_learning</span></a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neural_network</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/sum_product_networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sum_product_networks</span></a></p>
