Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Henri-Maxime Suchier"'
Publikováno v:
Fundamenta Informaticae. 96:89-109
We focus on the adaptation of boosting to representation spaces composed of different subsets of features. Rather than imposing a single weak learner to handle data that could come from different sources (e.g., images and texts and sounds), we sugges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b884d4691cf92c965bea799669b252
https://doi.org/10.3233/fi-2009-169
https://doi.org/10.3233/fi-2009-169
Publikováno v:
Revue d'intelligence artificielle. 19:713-740
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by using, in the update rule, additional information provided by an oracle.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2c7d989478aefb55485d115bb61b928
https://doi.org/10.3166/ria.19.713-740
https://doi.org/10.3166/ria.19.713-740
Publikováno v:
ICML
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performance of state merging algorithms in the presence of noisy data by using, in the update rule, additional information provided by an oracle. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b979be4806cba2afb09852d0787782f7
https://doi.org/10.1145/1015330.1015336
https://doi.org/10.1145/1015330.1015336