73 search results - page 12 / 15 » Learning to Classify Documents with Only a Small Positive Tr... |
BMCBI
2007
13 years 7 months ago
2007
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...