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» Generalized Belief Propagation
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UAI
1993
13 years 11 months ago
Jeffrey's rule of conditioning generalized to belief functions
: Jeffrey’s rule of conditioning has been proposed in order to revise a probability measure by another probability function. We generalize it within the framework of the models b...
Philippe Smets
SOCC
2008
IEEE
233views Education» more  SOCC 2008»
14 years 4 months ago
A low-power 1-Gbps reconfigurable LDPC decoder design for multiple 4G wireless standards
Abstract— In this paper we present an efficient system-onchip implementation of a 1-Gbps LDPC decoder for 4G (or beyond 3G) wireless standards. The decoder has a scalable datapa...
Yang Sun, Joseph R. Cavallaro
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
14 years 4 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...
NIPS
2008
13 years 11 months ago
Bounds on marginal probability distributions
We propose a novel bound on single-variable marginal probability distributions in factor graphs with discrete variables. The bound is obtained by propagating local bounds (convex ...
Joris M. Mooij, Hilbert J. Kappen
AAAI
2006
13 years 11 months ago
Belief Change in the Context of Fallible Actions and Observations
We consider the iterated belief change that occurs following an alternating sequence of actions and observations. At each instant, an agent has some beliefs about the action that ...
Aaron Hunter, James P. Delgrande