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» Reconstructing Boolean Models of Signaling
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TIP
2010
127views more  TIP 2010»
14 years 7 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICASSP
2011
IEEE
14 years 1 months ago
On the success of network inference using a markov routing model
In this paper we discuss why a simple network topology inference algorithm based on network co-occurrence measurements and a Markov random walk model for routing enables perfect t...
Laura Balzano, Robert Nowak, Matthew Roughan
ATVA
2007
Springer
226views Hardware» more  ATVA 2007»
15 years 3 months ago
Bounded Model Checking of Analog and Mixed-Signal Circuits Using an SMT Solver
This paper presents a bounded model checking algorithm for the verification of analog and mixed-signal (AMS) circuits using a satisfiability modulo theories (SMT) solver. The sys...
David Walter, Scott Little, Chris J. Myers
ICCD
2008
IEEE
139views Hardware» more  ICCD 2008»
15 years 6 months ago
Probabilistic error propagation in logic circuits using the Boolean difference calculus
- A gate level probabilistic error propagation model is presented which takes as input the Boolean function of the gate, the signal and error probabilities of the gate inputs, and ...
Nasir Mohyuddin, Ehsan Pakbaznia, Massoud Pedram
BMCBI
2007
110views more  BMCBI 2007»
14 years 9 months ago
Analysis of feedback loops and robustness in network evolution based on Boolean models
Background: Many biological networks such as protein-protein interaction networks, signaling networks, and metabolic networks have topological characteristics of a scale-free degr...
Yung-Keun Kwon, Kwang-Hyun Cho