Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Martin Griss"'
Publikováno v:
2014 International Conference on Computational Science and Computational Intelligence.
Combining information from a variety of sources greatly improves the classification accuracy compared with a single source. When the information sources are asynchronous (i.e., the combined feature set has missing values) and training data is limited
Autor:
Martin Griss, Robert R. Kessler
Publikováno v:
Software Engineering for Large-Scale Multi-Agent Systems ISBN: 9783540087724
SELMAS
SELMAS
Using software agents as next generation flexible components and applying reuse technologies to rapidly construct agents and agent systems have great promise to improve application and system construction. Whether built on conventional distributed co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c179ece6f2215ab15245c14477678753
https://doi.org/10.1007/3-540-35828-5_9
https://doi.org/10.1007/3-540-35828-5_9
Autor:
Jaelson Castro, Alessandro Garcia, Rogério de Lemos, Alexander Romanovsky, Julio Cesar Sampaio do Prado Leite, Martin Griss, Ruy Luiz Milidiú, José Alberto R. P. Sardinha, Anna Perini, Carlos José Pereira de Lucena
Publikováno v:
ACM SIGSOFT Software Engineering Notes. 28:1-1
This paper is intended to sum up the results of the Second International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS'03) held in Portland, Oregon, USA, May 3--4, 2003, as part of the International Conference on Softwa