A machine-learning ranking lets planetary ephemerides drop 147 of 343 Main Belt asteroids while keeping postfit Mars residuals within about 20 cm of the full 343-asteroid model and improving mass uncertainties by about 15 percent.
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Boosting decision trees for Main Belt Asteroid selection in planetary ephemerides: an alternative model
A machine-learning ranking lets planetary ephemerides drop 147 of 343 Main Belt asteroids while keeping postfit Mars residuals within about 20 cm of the full 343-asteroid model and improving mass uncertainties by about 15 percent.