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ICASSP
2009
IEEE
16 years 1 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
WSC
2007
15 years 9 months ago
American option pricing under stochastic volatility: a simulation-based approach
We consider the problem of pricing American options when the volatility of the underlying asset price is stochastic. No specific stochastic volatility model is assumed for the st...
Arunachalam Chockalingam, Kumar Muthuraman
EDCC
2010
Springer
15 years 11 months ago
Early Consensus in Message-Passing Systems Enriched with a Perfect Failure Detector and Its Application in the Theta Model
: While lots of consensus algorithms have been proposed for crash-prone asynchronous message-passing systems enriched with a failure detector of the class Ω (the class of eventua...
François Bonnet, Michel Raynal
MOBIHOC
2008
ACM
16 years 6 months ago
Toward stochastic anatomy of inter-meeting time distribution under general mobility models
Recent discovery of the mixture (power-law and exponential) behavior of inter-meeting time distribution of mobile nodes presents new challenge to the problem of mobility modeling ...
Han Cai, Do Young Eun
ASPLOS
2006
ACM
15 years 10 months ago
Efficiently exploring architectural design spaces via predictive modeling
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design parameters. Efficiently exploring exponential-size desig...
Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R...