2395 search results - page 4 / 479 » A selective sampling approach to active feature selection |
AAAI
2008
13 years 8 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
CIBCB
2006
IEEE
13 years 7 months ago
2006
IEEE
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....
SSPR
2004
Springer
13 years 11 months ago
2004
Springer
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
AAAI
2000
13 years 7 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
TCBB
2011
13 years 22 days ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...