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Dilan Görür

Raum Nummer: 201

 

Bild von Görür, Dilan

Dilan Görür

Position: Doktorand  Abteilung: 

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Artikel (1):

Görür D und Rasmussen CE (Juli-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):

Teh YW, Görür D und Ghahramani Z (März-2007) Stick-breaking Construction for the Indian Buffet Process, 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), International Machine Learning Society, Madison, WI, USA, 556-563, Series: JMLR Workshop and Conference Proceedings ; 2.
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Görür D, Jäkel F und Rasmussen CE (Juni-2006) A Choice Model with Infinitely Many Latent Features, 23rd International Conference on Machine Learning (ICML 2006), 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 Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 391-398, Series: Lecture Notes in Computer Science ; 3175.
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Abschlussarbeiten (1):

Görür D: Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning, Technische Universität Berlin, Germany, (April-2007). PhD thesis
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Vorträge (3):

Görür D und Rasmussen CE (Juni-16-2007) Abstract Talk: Dirichlet Process Mixtures of Factor Analysers, Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), Valencia, Spain.
Rasmussen CE und Görür D (Juni-2006): MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models, ICML Workshop on Learning with Nonparametric Bayesian Methods 2006, Pittsburgh, PA, USA.
Görür D und Rasmussen CE (Juni-2006): Sampling for non-conjugate infinite latent feature models, 8th Valencia International Meeting on Bayesian Statistics (ISBA 2006), Benidorm, Spain.

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Last updated: Montag, 22.05.2017