87 search results - page 8 / 18 » Selection of Patient Samples and Genes for Outcome Predictio... |
NIPS
2004
13 years 9 months ago
2004
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
JMLR
2006
13 years 7 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
BMCBI
2010
13 years 7 months ago
2010
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
BCB
2010
13 years 2 months ago
2010
Network-based genome-wide association studies (NWAS) utilize the molecular interactions between genes and functional pathways in biomarker identification. This study presents a no...
BMCBI
2007
13 years 7 months ago
2007
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...