Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes

no code implementations • NeurIPS 2009 • Kian M. Chai

We provide some insights into how task correlations in multi-task Gaussian process (GP) regression affect the generalization error and the learning curve.

Gaussian Processes regression

Multi-task Gaussian Process Learning of Robot Inverse Dynamics

no code implementations • NeurIPS 2008 • Christopher Williams, Stefan Klanke, Sethu Vijayakumar, Kian M. Chai

The inverse dynamics problem for a robotic manipulator is to compute the torques needed at the joints to drive it along a given trajectory; it is beneficial to be able to learn this function for adaptive control.

Multi-Task Learning