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» Learning the Common Structure of Data
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WWW
2007
ACM
16 years 4 months ago
Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography
In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anon...
Lars Backstrom, Cynthia Dwork, Jon M. Kleinberg
CORR
2004
Springer
86views Education» more  CORR 2004»
15 years 3 months ago
Epistemic communities: description and hierarchic categorization
Understanding the structure of knowledge communities, and particularly the organization of "epistemic communities", or groups of agents sharing common knowledge concerns...
Camille Roth, Paul Bourgine
ICANN
2010
Springer
15 years 4 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
BMCBI
2010
164views more  BMCBI 2010»
15 years 1 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
ECCV
2010
Springer
15 years 6 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...