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New ranking algorithms for parsing and tagging: kernels over discrete structures, and the voted perceptron

, и . ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, стр. 263--270. Morristown, NJ, USA, Association for Computational Linguistics, (2001)

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Lorraine Duffy

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A Geometric Approach to Leveraging Weak Learners., и . EuroCOLT, том 1572 из Lecture Notes in Computer Science, стр. 18-33. Springer, (1999)How to select a winner in evolutionary optimization?, , , и . SSCI, стр. 1-6. IEEE, (2017)Convolution Kernels for Natural Language., и . NIPS, стр. 625-632. MIT Press, (2001)Potential Boosters?, и . NIPS, стр. 258-264. The MIT Press, (1999)Boosting Methods for Regression., и . Mach. Learn., 47 (2-3): 153-200 (2002)Convolution Kernels for Natural Language, и . Advances in Neural Information Processing Systems 14 --- Proceedings of the 2001 Neural Information Processing Systems Conference (NIPS 2001), December 3-8, 2001, Vancouver, British Columbia, Canada, стр. 625--632. MIT Press, Cambridge, MA, USA, (2002)Leveraging for Regression., и . COLT, стр. 208-219. Morgan Kaufmann, (2000)Support vector machine classification and validation of cancer tissue samples using microarray expression data., , , , , и . Bioinform., 16 (10): 906-914 (2000)Using multiplicative algorithms to build cascade correlation networks.. IJCNN, стр. 1861-1865. IEEE, (1999)New ranking algorithms for parsing and tagging: kernels over discrete structures, and the voted perceptron, и . ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, стр. 263--270. Morristown, NJ, USA, Association for Computational Linguistics, (2001)