Dr. Carl Edward Rasmussen

Adresse: Spemannstr. 38
72076 Tübingen
Fax: 07071-601-552


Bild von Rasmussen, Carl Edward, Dr.

Carl Edward Rasmussen

Position: Wissenschaftler  Abteilung: 

Referenzen pro Seite: Jahr: Medium:

Zeige Zusammenfassung

Beiträge zu Tagungsbänden (36):

Williams CKI und Rasmussen CE (Juni-1996) Gaussian Processes for Regression In: Advances in neural information processing systems 8, , Ninth Annual Conference on Neural Information Processing Systems (NIPS 1995), MIT Press, Cambridge, MA, USA, 514-520.

Beiträge zu Büchern (1):

Quiñonero-Candela J, Rasmussen CE und Williams CKI: Approximation Methods for Gaussian Process Regression, 203-223. In: Large-Scale Kernel Machines, (Ed) L. Bottou, MIT Press, Cambridge, MA, USA, (September-2007).

Technische Berichte (5):

Nickisch H und Rasmussen CE: Gaussian Mixture Modeling with Gaussian Process Latent Variable Models, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juni-2010).
Kuss M, Pfingsten T, Csato L und Rasmussen CE: Approximate Inference for Robust Gaussian Process Regression, 136, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (März-2005).
Quiñonero-Candela J, Girard A und Rasmussen CE: Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting, IMM-2003-18, (2003).
Williams CKI, Rasmussen CE, Scwaighofer A und Tresp V: Observations on the Nyström Method for Gaussian Process Prediction, (2002).
Rasmussen CE, Neal RM, Hinton GE, van Camp D, Revow M, Ghahramani Z, Kustra R und Tibshirani R: The DELVE user manual, Department of Computer Science, University of Toronto, (Dezember-1996).

Poster (3):

Pfingsten T, Kuss M und Rasmussen CE (Juni-2006): Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space, Eighth World Meeting of the International Society for Bayesian Analysis (ISBA 2006), Benidorm, Spain.
Tanner TG, Hill NJ, Rasmussen CE und Wichmann FA (Februar-2005): Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain, 8th Tübingen Perception Conference (TWK 2005), Tübingen, Germany.
Quiñonero-Candela J, Girard A, Larsen J und Rasmussen CE (September-2003): Propagation of Uncertainty in Bayesian Kernel Models: Application to Multiple-Step Ahead Forecasting, 13th IEEE International Workshop on Neural Networks for Signal Processing (NNSP '03), Toulouse, France.

Abschlussarbeiten (1):

Rasmussen CE: Evaluation of Gaussian Processes and other Methods for Non-Linear Regression, Graduate Department of Computer Science, Univeristy of Toronto, (1996). PhD thesis

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.
1, 2

Export als:
BibTeX, XML, pubman, Edoc, RTF
Last updated: Montag, 22.05.2017