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» Reconstructing Boolean Models of Signaling
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BMCBI
2010
119views more  BMCBI 2010»
14 years 9 months ago
Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase
Background: The knowledge about proteins with specific interaction capacity to the protein partners is very important for the modeling of cell signaling networks. However, the exp...
Boris Sobolev, Dmitry Filimonov, Alexey Lagunin, A...
CORR
2010
Springer
47views Education» more  CORR 2010»
14 years 9 months ago
Lower bounds for the error decay incurred by coarse quantization schemes
Several analog-to-digital conversion methods for bandlimited signals used in applications, such as quantization schemes, employ coarse quantization coupled with oversampling. The...
Felix Krahmer, Rachel Ward
CORR
2010
Springer
255views Education» more  CORR 2010»
14 years 9 months ago
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
TSP
2010
14 years 4 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani
NIPS
2007
14 years 10 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman