5 citations · 5 across the 1 of their papers we have counts for
1 paper
Dana Azouri, Oz Granit, Michael Alburquerque +3
We propose a reinforcement-learning algorithm to tackle the challenge of reconstructing phylogenetic trees. The search for the tree that best describes the data is algorithmically…