1435 search results - page 40 / 287 » Generalization Error Bounds Using Unlabeled Data |
AAAI
2006
13 years 10 months ago
2006
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
DATE
2008
IEEE
14 years 3 months ago
2008
IEEE
The importance of testing approaches that exploit error tolerance to improve yield has previously been established. Error rate, defined as the percentage of vectors for which the...
DIS
2006
Springer
14 years 5 days ago
2006
Springer
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
DCC
2003
IEEE
14 years 1 months ago
2003
IEEE
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...
PAM
2011
Springer
12 years 11 months ago
2011
Springer
In this paper, we characterize, quantify, and correct timing errors introduced into network flow data by collection and export via Cisco NetFlow version 9. We find that while som...