3378 search results - page 69 / 676 » Learning in Friedberg Numberings |
110
Voted
NIPS
2007
15 years 2 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
109
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NIPS
2003
15 years 1 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...
102
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
105
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FOCS
2006
IEEE
15 years 6 months ago
2006
IEEE
We address well-studied problems concerning the learnability of parities and halfspaces in the presence of classification noise. Learning of parities under the uniform distributi...
102
Voted
ECTEL
2007
Springer
15 years 6 months ago
2007
Springer
While the growing number of learning resources increases the choice for learners, it also makes it more and more difficult to find suitable courses. Thus, improved search capabili...