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Comments on invited talks
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Generative and Discriminative Models in Statistical Parsing. Michael Collins (MIT)
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Multi-Task Discriminative Estimation for Generative Models and Probabilities. Tony Jebara (Columbia University)
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Generative and Discriminative Image Models. John Winn (Microsoft Research Cambridge)
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General comments about the panel discussion
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Paper discussions
Comments about the paper and talks of the workshop
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Generative and Discriminative Latent Variable Grammars. Slav Petrov (Google Research)
11by Guillaume BouchardGuillaume Bouchard
07 Dec 2009 00:06Jump!
Discriminative and Generative Views of Binary Experiments. Mark D. Reid, Robert C. Williamson (Australian National University)
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Learning Feature Hierarchies by Learning Deep Generative Models. Ruslan Salakhutdinov (MIT)
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Why does Unsupervised Pre-training Help Deep Discriminant Learning? Dumitru Erhan, Yoshua Bengio, Aaron Courville Pierre-Antoine Manzagol, Pascal Vincent (Université de Montréal)
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Unsupervised Learning by Discriminating Data from Artificial Noise. Michael Gutmann, Aapo Hyvärinen (University of Helsinki)
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Inferring Meta-covariates Via an Integrated Generative and Discriminative Model. Keith J. Harris, Lisa Hopcroft, Mark Girolami
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Naïve Bayes vs. Logistic Regression: An Assessment of the Impact of the Misclassification. Cost Vidit Jain
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Hybrid Model of Conditional Random Field and Support Vector Machine. Qinfeng Shi, Mark Reid, Tiberio Caetano
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Weighting Priors for Hybrid Learning Principles. Jens Keilwagen, Jan Grau, Stefan Posch, Marc Strickert, Ivo Grosse
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Parameter Estimation in a Hierarchical Model for Species Occupancy. Rebecca A. Hutchinson, Thomas G. Dietterich
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