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NIPS
2003
14 years 11 months ago
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
MLMI
2004
Springer
15 years 3 months ago
2004
Springer
PRL
1998
14 years 9 months ago
1998
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
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Voted
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper we present a method for computing the localization of a mobile robot with reference to a learning video sequence. The robot is first guided on a path by a human, whi...
UAI
1996
14 years 11 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...