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NAACL
2010
14 years 9 months ago
Variational Inference for Adaptor Grammars
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with "rich get richer" dynamics. Inference for adaptor grammars seek...
Shay B. Cohen, David M. Blei, Noah A. Smith
QEST
2010
IEEE
14 years 9 months ago
DTMC Model Checking by SCC Reduction
Discrete-Time Markov Chains (DTMCs) are a widely-used formalism to model probabilistic systems. On the one hand, available tools like PRISM or MRMC offer efficient model checking a...
Erika Ábrahám, Nils Jansen, Ralf Wim...
GLOBECOM
2009
IEEE
14 years 9 months ago
Performance Modeling for Heterogeneous Wireless Networks with Multiservice Overflow Traffic
Performance modeling is important for the purpose of developing efficient dimensioning tools for large complicated networks. But it is difficult to achieve in heterogeneous wireles...
Qian Huang, King-Tim Ko, Villy Bæk Iversen
123
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CORR
2010
Springer
79views Education» more  CORR 2010»
14 years 8 months ago
Probabilistic cellular automata, invariant measures, and perfect sampling
In a probabilistic cellular automaton (PCA), the cells are updated synchronously and independently, according to a distribution depending on a finite neighborhood. A PCA can be vi...
Ana Busic, Jean Mairesse, Irene Marcovici
CDC
2010
IEEE
100views Control Systems» more  CDC 2010»
14 years 6 months ago
A resistance-based approach to consensus algorithm performance analysis
Abstract-We study the well known linear consensus algorithm by means of a LQ-type performance cost. We want to understand how the communication topology influences this algorithm. ...
Federica Garin, Enrico Lovisari, Sandro Zampieri