Artikel (1): |
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Görür D  und Rasmussen CE (July-2010) Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
Journal of Computer Science and Technology 25(4) 653-664.
  
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Beiträge zu Tagungsbänden (3): |
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Teh YW , Görür D und Ghahramani Z (March-2007) Stick-breaking Construction for the Indian Buffet Process
In: JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, 11th International Conference on Artificial Intelligence and Statistics, MIT Press, Cambridge, MA, USA, 556-563.
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Görür D , Jäkel F und Rasmussen CE (June-2006) A Choice Model with Infinitely Many Latent Features
In: ICML 2006, 23rd International Conference on Machine Learning, ACM Press, New York, NY, USA, 361-368.
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Görür D , Rasmussen CE , Tolias AS , Sinz F und Logothetis NK (September-2004) Modelling Spikes with Mixtures of Factor Analysers
In: Pattern Recognition, 26th DAGM Symposium, Springer, Berlin, Germany, 391-398.
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Abschlussarbeiten (1): |
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Görür D : Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning, Technische Universität Berlin, Berlin, Germany, (April-2007).
PhD thesis
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Vorträge (3): |
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Görür D und Rasmussen CE (June-2007): Dirichlet Process Mixtures of Factor Analysers, Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), Valencia, Spain.
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Rasmussen CE und Görür D (June-2006): MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models, ICML Workshop on Learning with Nonparametric Bayesian Methods 2006, Pittsburgh, PA, USA.
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Görür D und Rasmussen CE (June-2006): Sampling for non-conjugate infinite latent feature models, 8th Valencia International Meeting on Bayesian Statistics (ISBA 2006), Benidorm, Spain.
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