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ICLP
2010
Springer
15 years 4 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
CVPR
2005
IEEE
16 years 3 months ago
Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...
Frank Dellaert, Vivek Kwatra, Sang Min Oh
INFOCOM
2011
IEEE
14 years 4 months ago
Modeling residual-geometric flow sampling
Abstract—Traffic monitoring and estimation of flow parameters in high speed routers have recently become challenging as the Internet grew in both scale and complexity. In this ...
Xiaoming Wang, Xiaoyong Li, Dmitri Loguinov
PATMOS
2004
Springer
15 years 6 months ago
Signal Sampling Based Transition Modeling for Digital Gates Characterization
Current characterization methods introduce an important error in the measurement process. In this paper, we present a novel method to drive the timing characterization of logic gat...
Alejandro Millán, Jorge Juan-Chico, Manuel ...
ICN
2005
Springer
15 years 6 months ago
Network Traffic Sampling Model on Packet Identification
Spatially coordinated packet sampling can be implemented by using a deterministic function of packet content to determine the selection decision for a given packet. In this way, a...
Guang Cheng, Jian Gong, Wei Ding 0001