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» Learning Regular Expressions from Noisy Sequences
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NPL
2006
85views more  NPL 2006»
14 years 11 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
86
Voted
BMCBI
2006
127views more  BMCBI 2006»
14 years 11 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...
SIAMIS
2008
174views more  SIAMIS 2008»
14 years 11 months ago
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
We consider the restoration of piecewise constant images where the number of the regions and their values are not fixed in advance, with a good difference of piecewise constant val...
Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki...
ISBI
2009
IEEE
15 years 5 months ago
Tunable Tensor Voting for Regularizing Punctate Patterns of Membrane-Bound Protein Signals
Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membra...
Leandro A. Loss, George Bebis, Bahram Parvin
CORR
2010
Springer
134views Education» more  CORR 2010»
14 years 9 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari