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NIPS
2004
14 years 11 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
CMSB
2009
Springer
15 years 4 months ago
Probabilistic Approximations of Signaling Pathway Dynamics
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
Bing Liu, P. S. Thiagarajan, David Hsu
ISOLA
2010
Springer
14 years 8 months ago
Towards Dynamic Adaptation of Probabilistic Systems
Dynamic system adaptation is modeled in the coordination language Paradigm as coordination of collaborating components. A special component McPal allows for addition of new behavio...
Suzana Andova, Luuk Groenewegen, Erik P. de Vink
IJDAR
2010
169views more  IJDAR 2010»
14 years 8 months ago
A Bayesian network for combining descriptors: application to symbol recognition
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
Sabine Barrat, Salvatore Tabbone
STOC
1998
ACM
105views Algorithms» more  STOC 1998»
15 years 2 months ago
Concurrent Zero-Knowledge
Abstract. Loosely speaking, an interactive proof is said to be zeroknowledge if the view of every “efficient” verifier can be “efficiently” simulated. An outstanding open ...
Cynthia Dwork, Moni Naor, Amit Sahai