1760 search results - page 152 / 352 » Learning from Partial Observations |
132
click to vote
ESANN
1998
15 years 5 months ago
1998
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
125
click to vote
ICANN
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
128
Voted
ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
146
click to vote
ISMAR
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose a technique for text document tracking over a large range of viewpoints. Since the popular SIFT or SURF descriptors typically fail on such documents, our method conside...
141
click to vote
ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...