( en | de | ru )

 

Disambiguation of "Hruschka Jr, Estevam R"

Author of the publication

copydeleteadd this publication to your clipboard
Discovering relations between noun categories

, , and . Proceedings of the Conference on Empirical Methods in Natural Language Processing, page 1447--1455. Association for Computational Linguistics, (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Foued Jrad

Erna Hruschka

Astrid Hruschka

Harald Hruschka

Joachim Hruschka

 

Other publications of authors with the same name

A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm., , and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 453-461. IOS Press, (2002)BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers., , , and . Int. J. Hybrid Intell. Syst., 5 (2): 83-96 (2008)Discovering relations between noun categories, , and . Proceedings of the Conference on Empirical Methods in Natural Language Processing, page 1447--1455. Association for Computational Linguistics, (2011)Representation and automatic learning of temporal relations between time periods with uncertain boundaries., , , and . ISDA, page 443-448. IEEE, (2012)Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach., , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 513-525. Springer, (2004)On the influence of imputation in classification: practical issues., , , and . J. Exp. Theor. Artif. Intell., 21 (1): 43-58 (2009)A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm., , and . Appl. Artif. Intell., 17 (5-6): 489-506 (2003)A Bayesian imputation method for a clustering genetic algorithm., , and . J. Comput. Methods Sci. Eng., 11 (4): 173-183 (2011)VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers., and . HIS, page 56. IEEE Computer Society, (2006)Crowd-Powered Systems to Diminish the Effects of Semantic Drift., and . HAIS, volume 11734 of Lecture Notes in Computer Science, page 697-709. Springer, (2019)