2395 search results - page 13 / 479 » A selective sampling approach to active feature selection |
BMCBI
2006
13 years 7 months ago
2006
IJON
2006
13 years 7 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
JMLR
2012
11 years 10 months ago
2012
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
JSA
1998
13 years 7 months ago
1998
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
PR
2007
13 years 7 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...