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BMCBI
2007
138views more  BMCBI 2007»
15 years 6 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
148
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ICIP
2006
IEEE
16 years 7 months ago
Backward Channel Aware Wyner-Ziv Video Coding
Wyner-Ziv video coding is a coding method that exploits source statistics at the decoder. Many Wyner-Ziv video coding schemes encode a video sequence into two types of frames, key...
Limin Liu, Zhen Li, Edward J. Delp
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 6 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
16 years 6 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 6 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto