1339 search results - page 91 / 268 » Learning Functions from Imperfect Positive Data |
117
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
133
Voted
NIPS
2004
15 years 4 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
131
Voted
IADIS
2008
15 years 4 months ago
2008
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
157
Voted
NIPS
2008
15 years 4 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
132
Voted
ICRA
2009
IEEE
15 years 9 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...