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» Approximate algorithms for neural-Bayesian approaches
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ALMOB
2006
109views more  ALMOB 2006»
14 years 10 months ago
A novel functional module detection algorithm for protein-protein interaction networks
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
DICTA
2003
14 years 11 months ago
Fast Adaptive Algorithm for Time-Critical Color Quantization Application
Color quantization is the process of grouping n data points to k cluster. We proposed a new approach, based on Wu’s color quantization [6]. Our approach can significantly reduce ...
Kiattisin Kanjanawanishkul, Bunyarit Uyyanonvara
BMCBI
2008
138views more  BMCBI 2008»
14 years 10 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
CISS
2008
IEEE
15 years 4 months ago
Optimization via communication networks
— It has been known since the early 1990s that backpressure-type algorithms for communication networks (such as the Max-Weight algorithm) can be used to approximately solve stati...
Matthew Andrews
CORR
2008
Springer
151views Education» more  CORR 2008»
14 years 10 months ago
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Compressive sampling offers a new paradigm for acquiring signals that are compressible with respect to an orthonormal basis. The major algorithmic challenge in compressive sampling...
Joel A. Tropp, Deanna Needell