148 search results - page 10 / 30 » Multi-task Gaussian Process Prediction |
118
Voted
ESSMAC
2003
Springer
15 years 8 months ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
133
Voted
IJCAI
1997
15 years 4 months ago
1997
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
126
Voted
ILP
2003
Springer
15 years 8 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
179
Voted
AROBOTS
2011
14 years 9 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
129
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...