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ICML
2009
IEEE
15 years 12 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
75
Voted
CSB
2004
IEEE
106views Bioinformatics» more  CSB 2004»
15 years 2 months ago
A Theoretical Analysis of Gene Selection
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...
Sach Mukherjee, Stephen J. Roberts
BMCBI
2008
111views more  BMCBI 2008»
14 years 11 months ago
MLIP: using multiple processors to compute the posterior probability of linkage
Background: Localization of complex traits by genetic linkage analysis may involve exploration of a vast multidimensional parameter space. The posterior probability of linkage (PP...
Manika Govil, Alberto Maria Segre, Veronica J. Vie...
84
Voted
BMCBI
2008
78views more  BMCBI 2008»
14 years 11 months ago
A new protein linear motif benchmark for multiple sequence alignment software
Background: Linear motifs (LMs) are abundant short regulatory sites used for modulating the functions of many eukaryotic proteins. They play important roles in post-translational ...
Emmanuel Perrodou, Claudia Chica, Olivier Poch, To...
96
Voted
TNN
2010
168views Management» more  TNN 2010»
14 years 5 months ago
On the selection of weight decay parameter for faulty networks
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum