2395 search results - page 7 / 479 » A selective sampling approach to active feature selection |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
MICCAI
2006
Springer
14 years 8 months ago
2006
Springer
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
CANDC
2005
ACM
13 years 7 months ago
2005
ACM
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...