74 search results - page 2 / 15 » Robust bounds for classification via selective sampling |
JMLR
2006
13 years 4 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...
NIPS
2008
13 years 6 months ago
2008
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we propose a novel robust retrieval and classification system for video and motion events based on null space representation. In order to analyze the robustness of ...
BMCBI
2011
12 years 12 months ago
2011
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...