Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ivan Feliciano-Avelino"'
Autor:
Sebastián Bejos, Ivan Feliciano-Avelino, J. Fco. Martínez-Trinidad, José Ariel Carrasco-Ochoa
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:2137-2145
Document clustering has become an important task for processing the big amount of textual information available on the Internet. On the other hand, k-means is the most widely used algorithm for clustering, mainly due to its simplicity and effectivene
Publikováno v:
Neural Computing and Applications.
A Random Graph is a random object which takes its values in a space of graphs. We take advantage of the expressibility of graphs in order to model uncertainty about the existence of causal relations within a given set of variables. We adopt a Bayesia
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030898168
MICAI (1)
MICAI (1)
Reinforcement learning (RL) is the de facto learning by interaction paradigm within machine learning. One of the intrinsic challenges of RL is the trade-off between exploration and exploitation. To solve this problem, in this paper, we propose to imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ff3ac5ca07ceb8ea23b609a83015046
https://doi.org/10.1007/978-3-030-89817-5_16
https://doi.org/10.1007/978-3-030-89817-5_16
Autor:
Hugo Jair Escalante, Ivan Feliciano-Avelino, Miguel A. Álvarez-Carmona, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda
Publikováno v:
Advances in Soft Computing ISBN: 9783030337483
MICAI
MICAI
Recent works have shown that it is possible to use information extracted from images to address the task of automatic gender identification. These proposals have validated their solutions using monolingual datasets, i.e., collections where images are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e490afa4677e09ec2113e140057d7069
https://doi.org/10.1007/978-3-030-33749-0_28
https://doi.org/10.1007/978-3-030-33749-0_28