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Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk.

G. Lebanon, M. Scannapieco, M. Fouad, и E. Bertino. Privacy in Statistical Databases, том 4302 из Lecture Notes in Computer Science, стр. 217-232. Springer, (2006)

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Olga Guyot

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Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels.P. Donmez, G. Lebanon, и K. Balasubramanian. J. Mach. Learn. Res., (2010)Sequential models for sentiment predictionY. Mao, и G. Lebanon. ICML Workshop on Learning in Structured Output Spaces, (2006)The Manifold of Human EmotionsS. Kim, F. Li, G. Lebanon, и I. Essa. CoRR, (2013)Conditional Models on the Ranking Poset.G. Lebanon, и J. Lafferty. NIPS, стр. 415-422. MIT Press, (2002)Diffusion Kernels on Statistical Manifolds.J. Lafferty, и G. Lebanon. J. Mach. Learn. Res., (2005)Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk.G. Lebanon, M. Scannapieco, M. Fouad, и E. Bertino. Privacy in Statistical Databases, том 4302 из Lecture Notes in Computer Science, стр. 217-232. Springer, (2006)The Locally Weighted Bag of Words Framework for Document Representation.G. Lebanon, Y. Mao, и J. Dillon. J. Mach. Learn. Res., (2007)Learning Riemannian Metrics.G. Lebanon. UAI, стр. 362-369. Morgan Kaufmann, (2003)Keynote address: Visualizing and modeling ranked data.G. Lebanon. LDAV, IEEE Computer Society, (2013)Statistical Translation, Heat Kernels and Expected Distances.J. Dillon, Y. Mao, G. Lebanon, и J. Zhang. UAI, стр. 93-100. AUAI Press, (2007)

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