43 search results - page 4 / 9 » Asymptotic Bayesian generalization error when training and t... |
JMLR
2010
13 years 2 months ago
2010
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
BMCBI
2010
13 years 7 months ago
2010
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
ACML
2009
Springer
14 years 9 days ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
ANNPR
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...