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» On the Complexity of Termination Inference for Processes
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SIGSOFT
2008
ACM
15 years 10 months ago
Extended exceptions for contingencies and their implications for the engineering process
We observed a general problem of sequential programs, which often results in design and programming errors in industrial software engineering projects, and propose a solution appr...
Thorsten van Ellen, Wilhelm Hasselbring
IJAR
2006
98views more  IJAR 2006»
14 years 9 months ago
A forward-backward Monte Carlo method for solving influence diagrams
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
Andrés Cano, Manuel Gómez, Seraf&iac...
PSIVT
2007
Springer
129views Multimedia» more  PSIVT 2007»
15 years 3 months ago
Multi-target Tracking with Poisson Processes Observations
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...
Sergio Hernández, Paul Teal
NIPS
2007
14 years 11 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
VLSISP
2002
123views more  VLSISP 2002»
14 years 9 months ago
Monte Carlo Bayesian Signal Processing for Wireless Communications
Abstract. Many statistical signal processing problems found in wireless communications involves making inference about the transmitted information data based on the received signal...
Xiaodong Wang, Rong Chen, Jun S. Liu