1435 search results - page 49 / 287 » Generalization Error Bounds Using Unlabeled Data |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
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SODA
2000
ACM
14 years 11 months ago
2000
ACM
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
This paper is focused on the performance analysis of binary linear block codes (or ensembles) whose transmission takes place over independent and memoryless parallel channels. New ...
GLOBECOM
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— In this paper, multiple access channels are considered in which user data rates increase with the signal-to-noise ratio (SNR). To account for channel estimation errors,...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...