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» Using self-dissimilarity to quantify complexity
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JMLR
2006
134views more  JMLR 2006»
15 years 1 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
SIAMREV
2010
170views more  SIAMREV 2010»
14 years 8 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
RECOMB
2006
Springer
16 years 1 months ago
Assessing Significance of Connectivity and Conservation in Protein Interaction Networks
Computational and comparative analysis of protein-protein interaction (PPI) networks enable understanding of the modular organization of the cell through identification of functio...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
CCGRID
2005
IEEE
15 years 6 months ago
Efficient resource description and high quality selection for virtual grids
Simple resource specification, resource selection, and effective binding are critical capabilities for Grid middleware. We the Virtual Grid, an abstraction for dynamic grid applic...
Yang-Suk Kee, D. Logothetis, Richard Y. Huang, Hen...
BMCBI
2006
130views more  BMCBI 2006»
15 years 1 months ago
An accurate and interpretable model for siRNA efficacy prediction
Background: The use of exogenous small interfering RNAs (siRNAs) for gene silencing has quickly become a widespread molecular tool providing a powerful means for gene functional s...
Jean-Philippe Vert, Nicolas Foveau, Christian Laja...