PASCAL Network

Number of records: 28.

	A Choice Model with Infinitely Many Latent Features Dilan Gorur, Frank Jäkel and Carl Edward Rasmussen Book Section (June 2006)
	A Choice Model with Infinitely Many Latent Features Dilan Gorur, Frank Jäkel and Carl Edward Rasmussen Conference or Workshop Item Item not available online. (2006)
	A Choice Model with Infinitely Many Latent Features Dilan Gorur, Frank Jäkel and Carl Edward Rasmussen Book Section (June 2006)
	A Unifying View of Sparse Approximate Gaussian Process Regression Joaquin Quinonero Candela and Carl Edward Rasmussen Article Item not available online. (December 2005)
	Adaptive Sequential Bayesian Change Point Detection Ryan Turner, Yunus Saatci and Carl Edward Rasmussen Conference or Workshop Item (12 December 2009)
	Analysis of Some Methods for Reduced Rank Gaussian Process Regression Joaquin Quinonero Candela and Carl Edward Rasmussen Book Section (15 April 2004)
	Approximate Dynamic Programming with Gaussian Processes Marc Deisenroth, Jan Peters and Carl Edward Rasmussen Conference or Workshop Item (June 2008)
	Approximation Methods for Gaussian Process Regression Joaquin Quinonero Candela, Carl Edward Rasmussen and Christopher Williams Book Section Item not available online. (09 November 2006)
	Approximations for Binary Gaussian Process Classification Hannes Nickisch and Carl Edward Rasmussen Article (2008)
	Assessing Approximate Inference for Binary Gaussian Process Classification Malte Kuss and Carl Edward Rasmussen Article (October 2005)
	Efficient Reinforcement Learning for Motor Control Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (September 2009)
	Gaussian Process Dynamic Programming Marc Deisenroth, Carl Edward Rasmussen and Jan Peters Article (13 March 2009)
	Gaussian Processes for Machine Learning Carl Edward Rasmussen and Christopher Williams Book Item not available online. (2006)
	Healing the Relevance Vector Machine through Augmentation Carl Edward Rasmussen and Joaquin Quinonero Candela Conference or Workshop Item (2005)
	Learning Depth From Stereo. Pattern Recognition Fabian Sinz, Joaquin Quinonero Candela, Goekhan Hasan Bakir, Carl Edward Rasmussen and Matthias Franz Conference or Workshop Item (April 2004)
	MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models Carl Edward Rasmussen and Dilan Gorur Conference or Workshop Item Item not available online. (29 June 2006)
	Model-based Design Analysis and Yield Optimization Tobias Pfingsten, Daniel Herrmann and Carl Edward Rasmussen Article Item not available online. (2006)
	Model-based Reinforcement Learning with Continuous States and Actions Marc Deisenroth, Carl Edward Rasmussen and Jan Peters Conference or Workshop Item (April 2008)
	Modeling and Visualizing uncertainty in gene expression clusters using dirichlet process mixtures Carl Edward Rasmussen, B. J. de la Cruz, Zoubin Ghahramani and D. L. Wild Article Item not available online. (October 2009)
	Modelling Spikes with Mixtures of Factor Analysers Dilan Gorur, Carl Edward Rasmussen, Andreas S. Tolias, Fabian Sinz and Nikos K. Logothetis Article (2004)
	Nonparametric mixtures of factor analyzers Dilan Gorur and Carl Edward Rasmussen Conference or Workshop Item Item not available online. (April 2009)
	Probabilistic Inference for Fast Learning in Control Carl Edward Rasmussen and Marc Deisenroth Book Section (November 2008)
	Sampling for Non-conjugate Infinite Latent Feature Models Dilan Gorur and Carl Edward Rasmussen Conference or Workshop Item Item not available online. (June 2006)
	Semi-supervised kernel regression using whitened function classes Matthias Franz, Y. Kwon, Carl Edward Rasmussen and Bernhard Schölkopf Conference or Workshop Item (2004)
	State-Space Inference and Learning with Gaussian Processes Ryan Turner, Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item Item availablity restricted. (05 November 2009)
	System Identification in Gaussian Process Dynamical Systems Ryan Turner, Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (12 December 2009)
	The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Raetsch, Bernhard Schölkopf, Alex Smola, Pascal Vincent, Jason Weston and Robert Williamson Article (September 2007)
	Warped Gaussian processes Ed Snelson, Carl Edward Rasmussen and Zoubin Ghahramani Conference or Workshop Item (2004)

This list was generated on Thu Mar 11 12:29:49 GMT 2010.