43 search results - page 1 / 9 » Asymptotic Bayesian generalization error when training and t... |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
BMCBI
2006
13 years 4 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
TSP
2008
13 years 4 months ago
2008
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
NAACL
2010
13 years 2 months ago
2010
This paper proposes a novel approach to the problem of training classifiers to detect and correct grammar and usage errors in text by selectively introducing mistakes into the tra...