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Random ensemble oblique decision stumps for classifying gene expression data.

, , and . SoICT, page 137-144. ACM, (2018)

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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)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)Mining Very Large Datasets with SVM and Visualization., and . ICEIS (2), page 127-141. (2005)Random Local SVMs for Classifying Large Datasets., and . FDSE, volume 9446 of Lecture Notes in Computer Science, page 3-15. Springer, (2015)Incremental Parallel Support Vector Machines for Classifying Large-Scale Multi-class Image Datasets., and . FDSE, volume 10018 of Lecture Notes in Computer Science, page 20-39. (2016)Developing Application Based Upon An Ontology-Based Modelling of Vietnamese Traditional Dances., , , , and . DigitalHERITAGE/VSMM, page 1-7. IEEE, (2018)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)Mining Very Large Datasets with Support Vector Machine Algorithms., and . ICEIS (2), page 140-147. (2003)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)