• Aucun résultat trouvé

Same father, same face: Deep learning reveals selection for signaling kinship in a wild primate

N/A
N/A
Protected

Academic year: 2021

Partager "Same father, same face: Deep learning reveals selection for signaling kinship in a wild primate"

Copied!
12
0
0

Texte intégral

Loading

Figure

Table 1. Kinship and social behavior. Statistics obtained from generalized linear mixed models (proc GENMOD, SAS Studio) with a negative binomial  distribution performed to study the relationships between social behavior (grooming and aggression) or spatia
Fig. 1. Kinship and social behavior. Mean frequencies (and SEM) of social behavior and spatial association across kin categories in 45 adult females over 8 years (2012 to 2019)
Table 2. Kinship and face distance. Statistics obtained from general linear mixed models (proc GLIMMIX, SAS Studio) performed to study the relationships  between face distances and a set of explanatory variables, including kinship, in (A) all adult female-
Fig. 3. Kinship and face distance. Mean raw face distances (and SEM) across kin categories for pictures taken on 45 adult and 16 juvenile females at two age differences

Références

Documents relatifs

387 relatedness. It is then crucial to implement a bank of genome samples as early as possible, in order to 388 maintain a complete and reliable knowledge about the genetic state

To assess whether the deletion and the R153Q mutation affect GLRA2 function in vivo, we knocked down the zebrafish orthologue glra2 and subsequently performed

The specific objectives were to (1) study the current status of the genetic diversity harboured in the orchard, in the aerial part and rootstocks; (2) confirm the existence of

At the individual scale, results from both Structure and Structure-Harvester software revealed some difficulties to converge toward a defined number of genetic clusters K

Algorithmic discrimination implications: popular deep models trained for task T on biased databases (i.e., unequally represented classes k for a given demographic criterion d such

Dans ce travail, après une étude bibliographique sur le diabète, nous proposons un ensemble de mesures à prendre en considération par le pharmacien d’officine soit lors

Support Vector Machines (SVMs) are well-established Ma- chine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed

The self-paced reading study yielded the fol- lowing significant effects: (1) an effect of typical- ity on reading times (t = 2.28, p = .02) at the object region