PASCAL Network

Number of records: 19.

	A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Article Item not available online. (2009)
	A Stochastic Memoizer for Sequence Data Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh Conference or Workshop Item (2009)
	A stochastic memoizer for sequence data Frank Wood, Cedric Archambeau, Jan Gasthaus and Yee Whye Teh Book Section (June 2009)
	Automatic Adjustment of Discriminant Adaptive Nearest Neighbor Nicolas Delannay, Cedric Archambeau and Michel Verleysen Conference or Workshop Item (August 2006)
	Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Conference or Workshop Item Item availablity restricted. (August 2007)
	Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Conference or Workshop Item Item availablity restricted. (August 2007)
	Gaussian Process Approximations of Stochastic Differential Equation Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Article (2007)
	Gaussian Process Approximations of Stochastic Differential Equations Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Conference or Workshop Item (13 June 2006)
	Gaussian Process Approximations of Stochastic Differential Equations Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Article Item not available online. (2007)
	Mixtures of Robust Probabilistic Principal Component Analyzers Cedric Archambeau, Nicolas Delannay and Michel Verleysen Article Item not available online. (June 2007)
	Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods Stefano Lise, Cedric Archambeau, Massimiliano Pontil and David Jones Article Item not available online. (2009)
	Robust Bayesian Clustering Cedric Archambeau and Michel Verleysen Article Item not available online. (2007)
	Robust Probabilistic Projections Cedric Archambeau, Nicolas Delannay and Michel Verleysen Conference or Workshop Item (June 2006)
	Stochastic Memoizer for Sequence Data Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh Conference or Workshop Item (June 2009)
	Switching Regulatory Models of Cellular Stress Response Guido Sanguinetti, Andreas Ruttor, Manfred Opper and Cedric Archambeau Article Item not available online. (November 2008)
	The Variational Gaussian Approximation Revisited. Manfred Opper and Cedric Archambeau Article (2009)
	Variational Inference for Diffusion Processes Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor Conference or Workshop Item (December 2007)
	Variational Inference for Diffusion Processes Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor Article (2007)
	Variational Markov Chain Monte Carlo for Inference in Partially Observed Nonlinear Diffusions. Yuan Shen, Cedric Archambeau, Dan Cornford and Manfred Opper Conference or Workshop Item Item not available online. (2008)

This list was generated on Thu Sep 2 15:32:08 BST 2010.