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» A Bi-clustering Framework for Categorical Data
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BMCBI
2006
165views more  BMCBI 2006»
14 years 11 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
TKDE
2010
137views more  TKDE 2010»
14 years 10 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
CSCWD
2001
Springer
15 years 4 months ago
Update Algorithms for the Sketch Data Model
The authors have developed a new approach to database interoperability using the sketch data model. That technique has now been used in a number of applications, but an important ...
Michael Johnson, Robert D. Rosebrugh
SPRINGSIM
2010
14 years 10 months ago
SES-based ontological process for high level information fusion
—Data Fusion (DF) process is in the interest of the military community since it provides the opportunity to achieve information superiority. The System Entity Structure (SES) is ...
Hojun Lee, Bernard P. Zeigler
ICPR
2010
IEEE
14 years 9 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...