662 search results - page 1 / 133 » Making inferences with small numbers of training sets |
IEE
2002
13 years 4 months ago
2002
This paper discusses a potential methodological problem with empirical studies assessing project effort prediction systems. Frequently a hold-out strategy is deployed so that the ...
ICASSP
2008
IEEE
13 years 10 months ago
2008
IEEE
To make voice conversion usable in practical applications, the number of training sentences should be minimized. With traditional Gaussian mixture model (GMM) based techniques sma...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
ACSW
2004
13 years 5 months ago
2004
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
UAI
2008
13 years 5 months ago
2008
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...