Zobrazeno 1 - 9
of 9
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
Autor:
Janodet, Jean-Christophe1,2,3 janodet@univ-st-etienne.fr, Sebban, Marc1,2,3 Marc.Sebban@univ-st-etienne.fr, Suchier, Henri-Maxime hm.suchier@artefacto.fr
Publikováno v:
Fundamenta Informaticae. 2009, Vol. 96 Issue 1-2, p89-109. 21p. 3 Diagrams, 2 Charts, 2 Graphs.
Publikováno v:
ACM International Conference Proceeding Series; Jul2004, p54-N-PAG, 1p
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the?fth time in a row, after some years of mutual independence b
This book constitutes the refereed proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, held in Pisa, Italy, in September 2004 jointly with ECML 2004. The 39 revised full papers and 9 r
The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined, volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Kn
The proceedings of ECML/PKDD2003 are published in two volumes: the P- ceedings of the 14th European Conference on Machine Learning (LNAI 2837) and the Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Dat