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» Informative sampling for large unbalanced data sets
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172
Voted
BMCBI
2005
160views more  BMCBI 2005»
15 years 3 months ago
Data-poor categorization and passage retrieval for Gene Ontology Annotation in Swiss-Prot
Background: In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing...
Frédéric Ehrler, Antoine Geissbü...
143
Voted
FOCS
2010
IEEE
15 years 1 months ago
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
Abstract--We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual partici...
Moritz Hardt, Guy N. Rothblum
113
Voted
SSPR
2004
Springer
15 years 9 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
120
Voted
BMCBI
2006
98views more  BMCBI 2006»
15 years 3 months ago
Quantitative comparison of EST libraries requires compensation for systematic biases in cDNA generation
Background: Publicly accessible EST libraries contain valuable information that can be utilized for studies of tissue-specific gene expression and processing of individual genes. ...
Donglin Liu, Joel H. Graber
215
Voted
ICIP
2003
IEEE
16 years 5 months ago
Highly scalable video compression with scalable motion coding
A scalable video coder cannot be equally efficient over a wide range of bit-rates unless both the video data and the motion information are scalable. We propose a wavelet-based, h...
Andrew Secker, David Taubman