Contact

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: 

Präferenzen: 
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.
pdf

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).
pdf

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).
pdf
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).
pdfps
Williams CKI, Rasmussen CE, Scwaighofer A und Tresp V: Observations on the Nyström Method for Gaussian Process Prediction, (2002).
ps
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.
pdf
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
ps

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.
Seite:  
1, 2

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