Confrontations

Leptodactylus pentadactylus

“…Chama-Chuva (Souza and Cardoso 2002), Riesen-Pfeiffrosch (Schlüter 1984), Reuzen Fluitkikker , Sapo-Toro Común (Barrio Amarós 1998;Heyer et al 2008a), Slender-fingered Bladder Frog (Ananjeva et al 1988), Smoky Jungle Frog (Ananjeva et al 1988;Bartlett 2000;Behler and Behler 2005;Cochran 1940;McAllister et al 2010a,b;Rosenberg 1987;Wright 2001a), South American Bullfrog (Ananjeva et al 1988;Arak 1986;Behler and Behler 2005;Blankenship 1990;Bursey et al 2001;Frank and Ramus 1995;McAllister et al 2010a,b;Rosenberg 1987), Südamerikanischer Ochsenfrosche (Ananjeva et al 1988;Schlüter 1984;Switak 2006), Todo , Whooping Frog (Castner 2000), Yai Jojó (Ormaza and Bajaña 2008).…”

scikit-matter : A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials Science

“…Engineering these features is a rich sub-discipline of machine learning unto itself, and thus several best practices have been established for analysing the resulting representations (see Page 2 for an introduction), including a reduction of redundant information in features and samples 7 – 9 , comparing different featurisations on datasets 10 , 11 , and analysing their reduced manifolds 12 . These methods are, however, often inextricably linked to the libraries computing these representations 13 – 15 and are not available to a wider audience outside of these sub-communities. The objective of the open-source library is to make these ML methods accessible to a wider community by following the API and coding guidelines, and by treating the features as agnostic to their domain.…”