1760 search results - page 108 / 352 » Learning from Partial Observations |
130
Voted
ISVC
2007
Springer
15 years 9 months ago
2007
Springer
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
102
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
108
Voted
NIPS
2007
15 years 4 months ago
2007
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
105
Voted
IJCNN
2008
IEEE
15 years 9 months ago
2008
IEEE
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
131
Voted
ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...