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pro vyhledávání: '"Huamán, M."'
Machine Learning (ML) is the branch of computer science that studies computer algorithms that can learn from data. It is mainly divided into supervised learning, where the computer is presented with examples of entries, and the goal is to learn a gen
Externí odkaz:
http://arxiv.org/abs/2110.06611
The Rafita asteroid family is an S-type group located in the middle main belt, on the right side of the 3J:-1A mean-motion resonance. The proximity of this resonance to the family left side in semi-major axis caused many former family members to be l
Externí odkaz:
http://arxiv.org/abs/1705.08354
$v_W$ leptokurtic asteroid families are families for which the distribution of the normal component of the terminal ejection velocity field $v_W$ is characterized by a positive value of the ${\gamma}_2$ Pearson kurtosis, i.e., they have a distributio
Externí odkaz:
http://arxiv.org/abs/1608.03553
Asteroid families are groups of minor bodies produced by high-velocity collisions. After the initial dispersions of the parent bodies fragments, their orbits evolve because of several gravitational and non-gravitational effects,such as diffusion in m
Externí odkaz:
http://arxiv.org/abs/1603.00818
Akademický článek
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V-type asteroids are associated with basaltic composition, and are supposed to be fragments of crust of differentiated objects. Most V-type asteroids in the main belt are found in the inner main belt, and are either current members of the Vesta dynam
Externí odkaz:
http://arxiv.org/abs/1401.6332
The asteroid (10) Hygiea is the fourth largest asteroid of the Main Belt, by volume and mass, and it is the largest member of its own family. Previous works investigated the long-term effects of close encounters with (10) Hygiea of asteroids in the o
Externí odkaz:
http://arxiv.org/abs/1310.5982
Previous works have identified families halos by an analysis in proper elements domains, or by using Sloan Digital Sky Survey-Moving Object Catalog data, fourth release (SDSS-MOC4) multi-band photometry to infer the asteroid taxonomy, or by a combina
Externí odkaz:
http://arxiv.org/abs/1305.4847
Publikováno v:
In Machine Learning for Small Bodies in the Solar System 2025:33-57
Autor:
HUAMAN, M. A., KRYSCIO, R. J., FICHTENBAUM, C. J., HENSON, D., SALT, E., STERLING, T. R., GARVY, B. A.
Publikováno v:
Epidemiology and Infection, 2017 May 01. 145(7), 1363-1367.
Externí odkaz:
https://www.jstor.org/stable/26521207