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Multi-class wine grades predictions with hierarchical support vector machines.

, , , and . ICNC-FSKD, page 111-115. IEEE, (2017)

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Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model., , , and . ICMLA (1), page 378-381. IEEE, (2013)Rule Extraction from SVM for Protein Structure Prediction., , , , , and . Rule Extraction from Support Vector Machines, volume 80 of Studies in Computational Intelligence, Springer, (2008)Finite element modeling of final placement and insertion depth of new cochlear implant electrode array embedded with nitinol shape memory alloy actuators., , , and . MSV, page 27-32. CSREA Press, (2006)Feature Extraction Optimization for Network Intrusion Detection in Control System Networks., , , and . Int. J. Netw. Secur., 20 (5): 853-861 (2018)Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm., , , and . BIBM, page 98-103. IEEE Computer Society, (2008)Interval-Valued Centroids in K-Means Algorithms., , , and . ICMLA (1), page 478-481. IEEE, (2012)Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs., and . BIBE, page 1-8. IEEE Computer Society, (2009)Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction., , , , and . CIBCB, page 317-322. IEEE, (2007)On the Efficiency of Haptic Based Object Identification: Determining Where to Grasp to Get the Most Distinguishing Information., , , , , and . Frontiers Robotics AI, (2021)A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges., , , and . Trans. Mach. Learn. Data Min., 10 (1): 3-24 (2017)