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» Embedding Heterogeneous Data Using Statistical Models
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117
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BMCBI
2005
109views more  BMCBI 2005»
15 years 18 days ago
Automation of gene assignments to metabolic pathways using high-throughput expression data
Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...
Liviu Popescu, Golan Yona
92
Voted
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
16 years 1 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
CASCON
2006
162views Education» more  CASCON 2006»
15 years 2 months ago
Integrating dynamic views using model driven development
Model Driven Development is helping software developers rapidly engineer today's most sophisticated business applications. Tool support, such as the Eclipse Modeling Framewor...
R. Ian Bull
119
Voted
ICML
2009
IEEE
15 years 7 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
102
Voted
BMCBI
2007
129views more  BMCBI 2007»
15 years 21 days ago
Inferring cellular networks - a review
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
Florian Markowetz, Rainer Spang