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IJON
2007
184views more  IJON 2007»
14 years 9 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
83
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TASLP
2008
124views more  TASLP 2008»
14 years 9 months ago
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
Cédric Févotte, Bruno Torrésa...
TCBB
2008
93views more  TCBB 2008»
14 years 9 months ago
2SNP: Scalable Phasing Method for Trios and Unrelated Individuals
Emerging microarray technologies allow affordable typing of very long genome sequences. A key challenge in analyzing of such huge amount of data is scalable and accurate computatio...
Dumitru Brinza, Alexander Zelikovsky
BIOINFORMATICS
2005
152views more  BIOINFORMATICS 2005»
14 years 9 months ago
Intervention in context-sensitive probabilistic Boolean networks
Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been...
Ranadip Pal, Aniruddha Datta, Michael L. Bittner, ...
BMCBI
2005
100views more  BMCBI 2005»
14 years 9 months ago
EvDTree: structure-dependent substitution profiles based on decision tree classification of 3D environments
Background: Structure-dependent substitution matrices increase the accuracy of sequence alignments when the 3D structure of one sequence is known, and are successful e.g. in fold ...
Jean-Christophe Gelly, Laurent Chiche, Jér&...