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Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) Book reviews

, , и . IEEE Transactions on Neural Networks, 20 (3): 542-542 (марта 2009)
DOI: 10.1109/TNN.2009.2015974

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Bernhard Schölkopf

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A Review of Kernel Methods in Machine Learning, , и . Research Report, 156. Max Planck Institute for Technical Cybernetics (MPI), Max Planck Institute for Technical Cybernetics (MPI), (декабря 2006)Incorporating Invariances in Support Vector Learning Machines, , и . Artificial Neural Networks --- ICANN'96, стр. 47~-~52. Berlin, Springer Lecture Notes in Computer Science, Vol.~1112, (1996)Shrinking the tube: a new support vector regression algorithm, , , и . Advances in Neural Information Processing Systems 11, стр. 330 -- 336. Cambridge, MA, MIT Press, (1999)Kernel Principal Component Analysis, , и . Advances in Kernel Methods---Support Vector Learning, стр. 327--352. (1999)A Generalized Representer Theorem, , и . Proceedings of the Annual Conference on Learning Theory, (2001)Correcting Sample Selection Bias by Unlabeled Data, , , , и . Advances in Neural Information Processing Systems, 19, The MIT Press, Cambridge, MA, (2007)Pre-proceedings version.Semi--supervised Learning, , и . MIT Press, (2006)Extracting support data for a given task, , и . Proceedings of the International Conference on Knowledge Discovery and Data Mining, (1995)Efficient approximations for support vector machines in object detection, , , и . Proc. DAGM�04, (2005)An Introduction to Kernel-Based learning Algorithms, , , , и . IEEE Transactions on Neural Networks, 12 (2): 181--202 (2001)