683 search results - page 41 / 137 » Generalization Bounds for Learning Kernels |
NIPS
2008
13 years 10 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
TCC
2010
Springer
14 years 5 months ago
2010
Springer
Learning is a task that generalizes many of the analyses that are applied to collections of data, and in particular, collections of sensitive individual information. Hence, it is n...
TSMC
2002
13 years 8 months ago
2002
Abstract--This paper presents an iterative learning scheme for visionguided robot trajectory tracking. At first, a stability criterion for designing iterative learning controller i...
ALT
2010
Springer
13 years 10 months ago
2010
Springer
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...