334 search results - page 47 / 67 » Boosting with structural sparsity |
BMCBI
2008
13 years 8 months ago
2008
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
ICB
2007
Springer
14 years 2 months ago
2007
Springer
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
ICA
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...