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ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
14 years 7 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
ACML
2009
Springer
14 years 5 months ago
Conditional Density Estimation with Class Probability Estimators
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
Eibe Frank, Remco R. Bouckaert
ECSQARU
2009
Springer
14 years 5 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
ICC
2008
IEEE
142views Communications» more  ICC 2008»
14 years 4 months ago
End-to-End Outage Probability Minimization in OFDM Based Linear Multi-Hop Networks
Abstract— This paper is concerned with the end-to-end transmission outage in an OFDM based wireless multi-hop network. The network consists of a source node, a destination node, ...
Xiaolu Zhang, Meixia Tao, Wenhua Jiao, Chun Sum Ng
KI
2007
Springer
14 years 4 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz