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Information Visualization in Data Mining and Knowledge Discovery

, , , , , and . chapter Visualizing data mining models, page 205--222. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, (2001)

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Alpha seeding for support vector machines., and . KDD, page 345-349. ACM, (2000)A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs., and . J. Mach. Learn. Res., (2005)Building Support Vector Machines with Reduced Classifier Complexity., , and . J. Mach. Learn. Res., (2006)SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models., , , , , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2134-2146. PMLR, (2023)CATMS: An ATMS Which Avoids Label Explosions., and . AAAI, page 281-287. AAAI Press / The MIT Press, (1991)HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition., , , , , , and . ICCV, page 2740-2748. IEEE Computer Society, (2015)The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue.. Deep Blue Versus Kasparov: The Significance for Artificial Intelligence, page 9-13. AAAI Press, (1997)Information Visualization in Data Mining and Knowledge Discovery, , , , , and . chapter Visualizing data mining models, page 205--222. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, (2001)Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations.. ICML, volume 148 of ACM International Conference Proceeding Series, page 249-256. ACM, (2006)Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well., , and . ICLR, OpenReview.net, (2020)