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» Mining Gene Expression Data using Domain Knowledge
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UAI
2003
15 years 1 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 6 days ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas
BMCBI
2002
214views more  BMCBI 2002»
14 years 11 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 3 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
ECIS
2000
15 years 1 months ago
Semantic Event Model and its Implication on Situation Detection
- Events are at the core of reactive applications, which have become popular in many domains. Contemporary modeling tools lack the capability express the event semantics and relati...
Asaf Adi, David Botzer, Opher Etzion