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» Hyperclique pattern discovery
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ITA
2006
167views Communications» more  ITA 2006»
14 years 11 months ago
Characterization of lung tumor subtypes through gene expression cluster validity assessment
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
Giorgio Valentini, Francesca Ruffino
JMLR
2008
117views more  JMLR 2008»
14 years 11 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
TCS
2008
14 years 11 months ago
Detection of subtle variations as consensus motifs
We address the problem of detecting consensus motifs, that occur with subtle variations, across multiple sequences. These are usually functional domains in DNA sequences such as t...
Matteo Comin, Laxmi Parida
CAS
2005
109views more  CAS 2005»
14 years 11 months ago
Bringing Up Robot: Fundamental Mechanisms For Creating A Self-Motivated, Self-Organizing Architecture
In this paper we propose an intrinsic developmental algorithm that is designed to allow a mobile robot to incrementally progress through levels of increasingly sophisticated behav...
Douglas S. Blank, Deepak Kumar, Lisa Meeden, James...
KAIS
2007
75views more  KAIS 2007»
14 years 11 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann