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Disambiguation of "Do, Thanh-Nghi"

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Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy.

, , , and . DMIN, page 117-123. CSREA Press, (2008)

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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.

Do Yeon Kim University of Stuttgart

F. Dörr

Dr. Karim Douch University of Stuttgart

Kathrin Doth University of Stuttgart

Bianca Dößelmann University of Stuttgart

 

Other publications of authors with the same name

Mining Very Large Datasets with SVM and Visualization., and . ICEIS (2), page 127-141. (2005)A Fast Parallel SVM Algorithm for Massive Classification Tasks., , and . MCO, volume 14 of Communications in Computer and Information Science, page 419-428. Springer, (2008)Large Scale Image Classification with Many Classes, Multi-features and Very High-Dimensional Signatures., , and . Advanced Computational Methods for Knowledge Engineering, volume 479 of Studies in Computational Intelligence, Springer, (2013)Mining Very Large Datasets with Support Vector Machine Algorithms., and . ICEIS (2), page 140-147. (2003)Non-linear Classification of Massive Datasets with a Parallel Algorithm of Local Support Vector Machines.. ICCSAMA, volume 358 of Advances in Intelligent Systems and Computing, page 231-241. Springer, (2015)Developing Application Based Upon An Ontology-Based Modelling of Vietnamese Traditional Dances., , , , and . DigitalHERITAGE/VSMM, page 1-7. IEEE, (2018)Régression logistique pour la classification d'images à grande échelle., and . EGC, volume E-30 of Revue des Nouvelles Technologies de l'Information, page 309-320. Éditions RNTI, (2016)Random ensemble oblique decision stumps for classifying gene expression data., , and . SoICT, page 137-144. ACM, (2018)An Ontology-based Modelling of Vietnamese Traditional Dances (S)., , , , , and . SEKE, page 64-67. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2018)Random Local SVMs for Classifying Large Datasets., and . FDSE, volume 9446 of Lecture Notes in Computer Science, page 3-15. Springer, (2015)