@article{3593, title = {Assessing Approximate Inference for Binary Gaussian Process Classification}, author = {Kuss, M. and Rasmussen, C.}, journal = {Journal of Machine Learning Research}, volume = {6}, pages = {1679 }, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = oct, year = {2005}, doi = {}, month_numeric = {10} } @techreport{2578, title = {Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting}, author = {QuiƱonero-Candela, J. and Girard, A. and Rasmussen, CE.}, number = {IMM-2003-18}, organization = {Max-Planck-Gesellschaft}, institution = {Max Planck Institute for Biological Cybernetics, T{\"u}bingen, Germany}, school = {Biologische Kybernetik}, year = {2003}, doi = {} } @techreport{2292, title = {Observations on the Nystr{\"o}m Method for Gaussian Process Prediction}, author = {Williams, CKI. and Rasmussen, CE. and Schwaighofer, A. and Tresp, V.}, organization = {Max-Planck-Gesellschaft}, institution = { Max Planck Institute for Biological Cybernetics, T{\"u}bingen, Germany}, school = {Biologische Kybernetik}, year = {2002}, doi = {} }