|
|
|
Multiple output data modelling using Gaussian processes
|
M Alvarez, N Lawrence. Sparse Convolved Gaussian Processes for Multi-output Regression. Advances in Neural Information Processing Systems, 2008.
EV Bonilla, KMA Chai, CKI Williams. Multi-task Gaussian Process Prediction. Advances in Neural Information Processing Systems, 2007.
EV Bonilla, FV Agakov, CKI Williams. Kernel Multi-task Learning using Task-specific Features. Proceedings of the 11th AISTATS, March, 2007.
P Boyle, M Frean. Dependent Gaussian Processes. Advances in Neural Information Processing Systems, 2005.
P Boyle, M Frean. Multiple-output gaussian process regression. Technical Report, 2005.
CA Micchelli, M Pontil. Kernels for multi-task learning. Advances in Neural Information Processing Systems, 2005.
M Alvarez, N Lawrence. Sparse Multi-output Gaussian Processes. cs.ucl.ac.uk, 2005.
J Peltonen, Y Yaslan, S Kaski. Variational Bayes Learning from Relevant Tasks Only. mac.com.
A Argyriou, T Evgeniou, M Pontil. Multi-Task Feature Learning. Advances in Neural Information Processing Systems, 2007.
|
|
|
|
|
|
Dr Arman Melkumyan
Rio Tinto Centre for Mine Automation
Australian Centre for Field Robotics
Link Building J13, Room 317
University of Sydney
|
|
|
|