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Embedded feature-selection support vector machine for driving pattern recognition.

, , , and . J. Frankl. Inst., 352 (2): 669-685 (2015)

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A comparison of conventional and meta-model based global optimization methods., , , , and . PACRIM, page 422-427. IEEE, (2015)Modeling and Simulation of Hybrid Electric Ships with AC Power Bus - A Case Study., and . MESA, page 1-8. IEEE, (2018)Optimal toolpath pattern identification for single island, sculptured part rough machining using fuzzy pattern analysis., , and . Comput. Aided Des., 26 (11): 787-795 (1994)Quality measurement of production process plan using tolerance chart., and . CASE, page 25-30. IEEE, (2005)Embedded feature-selection support vector machine for driving pattern recognition., , , and . J. Frankl. Inst., 352 (2): 669-685 (2015)SCGOSR: Surrogate-based constrained global optimization using space reduction., , , and . Appl. Soft Comput., (2018)Machining Process Modeling for Intelligent Rough Machining of Sculptured Parts., , and . SSM, volume 146 of IFIP Conference Proceedings, page 119-128. Kluwer, (1998)Optimal Tool Path Generation for 2½ D Milling of Dies and Molds., , and . SSM, volume 146 of IFIP Conference Proceedings, page 272-278. Kluwer, (1998)An extension to design of experiment for design optimization with implicit parametric models and virtual prototypes., and . SMC, page 3977-3982. IEEE, (1998)An intelligent contraflow control method for real-time optimal traffic scheduling using artificial neural network, fuzzy pattern recognition, and optimization., and . IEEE Trans. Control. Syst. Technol., 8 (1): 183-191 (2000)